Pairs of Dual Wavelet Frames From Any Two Refinable Functions

Size: px
Start display at page:

Download "Pairs of Dual Wavelet Frames From Any Two Refinable Functions"

Transcription

1 Pairs of Dual Wavelet Frames From Any Two Refinable Functions Ingrid Daubechies Bin Han Abstract Starting from any two compactly supported refinable functions in L 2 (R) with dilation factor d, we show that it is always possible to construct 2d wavelet functions with compact support such that they generate a pair of dual d-wavelet frames in L 2 (R). Moreover, the number of vanishing moments of each of these wavelet frames is equal to the approximation order of the dual MRA; this is the highest possible. In particular, when we consider symmetric refinable functions, the constructed dual wavelets are also symmetric or antisymmetric. As a consequence, for any compactly supported refinable function φ in L 2 (R), it is possible to construct explicitly easily wavelets that are finite linear combinations of translates φ(d k), that generate a wavelet frame with arbitrarily preassigned number of vanishing moments. We illustrate the general theory by examples of such pairs of dual wavelet frames derived from B-spline functions. Key words: Dual wavelet frames, wavelet frames, refinable functions, B-spline functions. 2 AMS subject classification: 42C4, 42C15, 41A15. Research was partially supported by grants NSF (DMS , DMS ) AFOSR (F ). Address: Program in Applied Computational Mathematics, Princeton University, Princeton, NJ , USA. ingrid@math.princeton.edu, WWW: icd Research was partially supported by the Natural Sciences Engineering Research Council of Canada (NSERC Canada) under Grant G , by Alberta Innovation Science REE under Grant G Address: Department of Mathematical Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2G1. bhan@math.ualberta.ca, WWW: bhan 1

2 1 Introduction As a generalization of biorthogonal wavelets, pairs of dual wavelet frames have proved particularly useful in signal denoising many other applications where translation invariance or redundancy is important. By allowing redundancy in a wavelet system, one has much more freedom in the choice of wavelets. It may also be easier to recognize patterns in a redundant transform. From the computational point of view, it is often easier to work with dual wavelet frames that are generated by MRAs. If one works with biorthogonal bases, then the two MRAs have to be linked in special ways [5]. In this paper, we are particularly interested in pairs of dual wavelet frames derived from refinable functions; we shall see that there are then no restrictions on the MRAs. Before proceeding further, let us introduce some notation. Throughout this paper, by d we denote the dilation factor which is an integer with absolute value greater than one. For simplicity, throughout this paper, we further assume that d is a positive dilation factor since all the corresponding results in this paper for a negative dilation factor can be proved almost identically. The inner product, in L 2 (R) is defined to be f, g := f(t)g(t) dt, f, g L 2 (R). R Let {ψ 1,..., ψ r } be a finite set of functions in L 2 (R). We say that {ψ 1,..., ψ r } generates a d-wavelet frame in L 2 (R) if there exist positive constants C 1 C 2 such that C 1 f 2 r f, ψj,k l 2 C 2 f 2 f L 2 (R), (1.1) l=1 j Z k Z where f 2 := f, f ψ l j,k := d j/2 ψ l (d j k), j Z, k Z. In particular, when C 1 = C 2 = 1 in (1.1), we say that {ψ 1,..., ψ r } generates a (normalized) tight d-wavelet frame in L 2 (R). If both {ψ 1,..., ψ r } { ψ 1,..., ψ r } generate d-wavelet frames in L 2 (R) satisfy f, g = r f, ψj,k l ψ j,k, l g l=1 j Z k Z f, g L 2 (R), then we say that {ψ 1,..., ψ r } { ψ 1,..., ψ r } generate a pair of dual d-wavelet frames in L 2 (R). A pair of dual d-wavelet frames is also called a bi-frame in the literature [11]. Consequently, any function f in L 2 (R) has the following wavelet expansions: f = r f, ψj,k l ψ j,k l = l=1 j Z k Z r f, ψ j,k ψ l j,k l l=1 j Z k Z with the series converging absolutely in the L 2 norm. Using the Fourier transform, one can give an explicit characterization for {ψ 1,..., ψ r } { ψ 1,..., ψ r } to generate a pair of dual d-wavelet frames in L 2 (R); see [7, 11]. 2

3 An important property of a wavelet system is its order of vanishing moments. We say that {ψ 1,..., ψ r } has vanishing moments of order n if t k ψ l (t) dt = l = 1,..., r k =,..., n 1. R In this paper, we are particularly interested in obtaining pairs of dual wavelet frames that are derived from pairs of refinable functions with a general dilation factor. Let d be a dilation factor. A function φ is said to be d-refinable if φ = d k Z a k φ(d k), (1.2) where a is a sequence on Z, called the mask for φ. The Fourier series of a sequence a on Z is defined to be â(ξ) := k Z a k e ikξ, ξ R. (1.3) Any mask a for a refinable function in this paper is assumed to be finitely supported with â() = k Z a k = 1. We shall only consider L 2 -solutions φ to (1.2) with a finitely supported mask a; because a is finitely supported, this solution φ is compactly supported, (if it exists) uniquely defined up to normalization by ˆφ(ξ) := j=1 â(d j ξ), ξ R (see [5]), where the Fourier transform is defined to be ˆf(ξ) := f(t)e iξt dt, f L 1 (R). Since â() = 1 ˆφ(ξ) := j=1 â(d j ξ), we always have ˆφ() = 1. R We say that a satisfies the sum rules of order n with respect to the lattice dz if a k k l l =,..., n 1 j Z. (1.4) k dz a k+j (k + j) l = k dz Equivalently, a finitely supported sequence a satisfies the sum rules of order n with respect to the lattice dz if only if (1 + e iξ + + e i(d 1)ξ ) n â(ξ). That is, â(ξ) = (1 + e iξ + + e i(d 1)ξ ) n p(ξ) for some 2π-periodic trigonometric polynomial p. Throughout this paper, we shall use the notation q(ξ) â(ξ) to mean that â(ξ) = q(ξ)p(ξ) for some 2π-periodic trigonometric polynomial p. Let φ φ be two d-refinable functions in L 2 (R) with finitely supported masks a b, respectively. Suppose that a b satisfy the sum rules of orders m n with respect to the lattice dz for some positive integers m n, respectively. For any nonnegative integer N, we show in Section 3 that there exist finitely supported sequences a 1,..., a d, b 1,..., b d such that by defining ψ l = d k Z a l kφ(d k) ψl = d k Z b l k φ(d k), l = 1,..., d, (1.5) 3

4 (or equivalently, in the frequency domain, ψ l (dξ) = âl (ξ) ˆφ(ξ) ψl (dξ) = b l (ξ) ˆ φ(ξ) for l = 1,..., d.) {ψ 1,..., ψ d } { ψ 1,..., ψ d } generate a pair of dual d-wavelet frames in L 2 (R). Moreover, ψ 1, {ψ 2,..., ψ d }, ψ 1 { ψ 2,..., ψ d } have vanishing moments of orders n, n+2n, m+ 2N m, respectively. In addition, if both φ φ are real-valued symmetric d-refinable functions such that the symmetry centers of φ φ differ by a half integer, then the wavelet functions ψ 1,..., ψ d, ψ 1,..., ψ d can be chosen to be real-valued be either symmetric or antisymmetric with a same symmetry center. See Sections 3 4 for more detail. The structure of this paper is as follows. In Section 2, we shall recall a general method for constructing pairs of dual wavelet frames derived from any two refinable functions; we also prove two auxiliary results that will be useful for our main theorems. In Section 3, we shall discuss how to obtain pairs of dual wavelet frames in a concrete constructive way from any two refinable functions. An algorithm for constructing pairs of dual wavelet frames will be presented. Wavelet frames derived from refinable functions will be discussed in Section 3. In Section 4, we shall investigate how to derive pairs of real-valued symmetric dual wavelet frames from any two real-valued symmetric refinable functions. Finally, in Section 5 we give several examples of pairs of dual wavelet frames derived from B-spline functions. A program consisting of a collection of MAPLE routines based on the algorithms constructions of dual wavelet frames in this paper, which comes without warranty, can be downloaded at bhan. The examples in Section 5 are produced by this program. 2 Dual Wavelet Frames of High Vanishing Moments In this section, we shall discuss how to construct dual wavelet frames with high vanishing moments from refinable functions. The following lemma is a direct consequence of results from Cohen Daubechies [3] Villemoes [12]. Lemma 2.1 Let φ L 2 (R) be a d-refinable function with a dilation factor d a finitely supported mask a. Let b be a finitely supported sequence on Z such that ˆb() =. Define a function ψ by ˆψ(dξ) = ˆb(ξ) ˆφ(ξ). Then there exists a positive constant C such that f, ψ j,k 2 C f 2 f L 2 (R), (2.1) j Z k Z where ψ j,k := d j/2 ψ(d j k). Proof: Since φ L 2 (R) is compactly supported, it is well known that there exists a compactly supported function η L 2 (R) in the closure of span{φ( k) : k Z} such that the shifts of η are linearly independent φ = k Z c kη( k) for some finitely supported sequence c (see [1, 1]). By [3, Theorem 5.1], for some α >, η W2 α (R) := {f L 2 (R) : (1 + R ξ 2 ) α ˆf(ξ) 2 dξ < }. Therefore, as a finite linear combination of η( k), φ W2 α (R). So the compactly supported function ψ lies in W2 α (R) ψ(t) dt =. By [3, Theorem 5.1] or [12, Theorem 3.3], there R exists a positive constant C such that (2.1) holds. 4

5 We point out to the reader that Lemma 2.1 has been generalized to the case of the multivariate multiwavelets in [8]. Let M be an s s integer matrix such that all its eigenvalues are greater than one in modulus. Suppose that φ = (φ 1,..., φ r ) T ( L 2 (R s ) ) r is compactly supported ˆφ(M T ξ) = â(ξ) ˆφ(ξ) for some r r matrix â(ξ) of 2π-periodic trigonometric polynomials. Then it was proved in [8] that there exists α > such that R s (1 + ξ 2 ) α φ l (ξ) 2 dξ < (1 + ) α φ l L for all l = 1,..., r. Moreover, for any ψ = (ψ 1,..., ψ r ) T which is defined by ˆψ(M T ξ) = ˆb(ξ) ˆφ(ξ) for some r r matrix ˆb(ξ) of 2π-periodic trigonometric polynomials, if ψ l (t) dt = for all l = 1,..., r, then there exists a positive constant C such that R s r l=1 j Z k Z s f, ψ l j,k 2 C f 2 for all f L 2 (R s ), where ψ l j,k := det M j/2 ψ l (M j k). Pairs of dual wavelet frames can be obtained from refinable functions by the following result. Theorem 2.2 Let φ φ be two d-refinable functions in L 2 (R) with the dilation factor d finitely supported masks a b, respectively. Suppose that there are finitely supported sequences a 1,..., a r, b 1,..., b r a 2π-periodic trigonometric polynomial Θ such that Θ() = 1, â l () = b l () = l = 1,..., r (2.2) â(ξ) â 1 (ξ) â r (ξ) Θ(dξ)ˆb(ξ) Θ(ξ) â(ξ + 2π) d â1 (ξ + 2π) â d r (ξ + 2π) d b 1 (ξ) =.. (2.3) â(ξ + 2π(d 1) ) â d 1 (ξ + 2π(d 1) ) â d r (ξ + 2π(d 1) ) b r (ξ) d Define wavelet functions ψ 1,..., ψ r, ψ 1,..., ψ r as follows: ψ l = d a l kφ(d k) ψl = d b l φ(d k k), l = 1,..., r. (2.4) k Z k Z Then {ψ 1,..., ψ r } { ψ 1,..., ψ r } generate a pair of dual d-wavelet frames in L 2 (R). Proof: By Lemma 2.1, there exists a positive constant C such that r [ f, ψ lj,k 2 + f, ψ lj,k ] 2 C f 2 f L 2 (R), l=1 j Z k Z where ψ l j,k = d j/2 ψ l (d j k) ψ l j,k = d j/2 ψl (d j k). Define η by ˆη(ξ) := Θ(ξ) ˆ φ(ξ). By (2.3) a simple calculation, for every j Z, one has r l=1 k Z f, ψ l j,k ψ l j,k, g = k Z f, φ j+1,k η j+1,k, g k Z f, φ j,k η j,k, g, f, g L 2 (R). The rest of the proof follows directly from Daubechies, Han, Ron Shen [6, Corollary 5.3]. It is easy to see that (2.3) can be rewritten as follows: â(ξ + 2πj/d)ˆb(ξ)Θ(dξ) + r â l (ξ + 2πj/d) b l (ξ) = δ j Θ(ξ), j =,..., d 1, (2.5) l=1 5

6 where δ denotes the Dirac sequence such that δ = 1 δ j = for all j Z\{}. Tight wavelet frames dual wavelet frames have been investigated in [2, 6] for the case d = 2. In this paper, we shall give a systematic study of dual wavelet frames with a general dilation factor. We mention that Theorem 2.2 can also be verified using the characterization of dual wavelet frames in [7, 11]. In order to prove the main results in this paper, the following result is crucial in our construction of dual wavelet frames from refinable functions. Lemma 2.3 Let d be a dilation factor. Let A B be two finitely supported sequences on Z such that Â() = ˆB(). Let Θ(ξ) := k Z Θ ke ikξ be a 2π-periodic trigonometric polynomial we denote by Θ (j) the jth derivative of the trigonometric polynomial Θ. Then for any positive integer n, Θ() = 1 (1 e iξ ) n [Θ(ξ)Â(ξ) Θ(dξ) ˆB(ξ)] (2.6) if only if i l Θ (l) () = k Z Θ k k l = λ l, l =,..., n 1, (2.7) where λ = 1 λ l (l N) are uniquely determined by the following recursive formula: [ 1 l 1 l! λ l = (d l 1)Â() A k k l j d ] j B k k l j λ j, l N. (2.8) j!(l j)! j= k Z k Z Consequently, for any positive integer n there exists a 2π-periodic trigonometric polynomial Θ such that (2.6) holds. In particular, if A B are finitely supported real-valued sequences on Z such that A s k = A k B s k = B k for all k Z for some integers s s such that c = s s is an integer, then Θ can be chosen to be a 2π-periodic trigonometric polynomial with d 1 real coefficients such that Θ(ξ) = e icξ Θ(ξ); that is, Θ c k = Θ k for all k Z. Proof: By the Leibniz differentiation formula Â() = ˆB(), (2.6) is equivalent to Θ() = 1 (d l 1)Â()Θ(l) () = l 1 j= l! j!(l j)! Θ(j) ()[Â(l j) () d j ˆB(l j) ()], l = 1,..., n 1. It follows directly from the above equations that (2.6) is equivalent to (2.7). When A B are real-valued sequences, by (2.8), it is clear that we can choose Θ to be a 2πperiodic trigonometric polynomial with real coefficients. Note that A s k = A k for all k Z if only if Â(ξ) = e isξ Â(ξ). Let θ be a 2π-periodic trigonometric polynomial with real coefficients such that θ() = 1 (1 e iξ ) n [θ(ξ)â(ξ) θ(dξ) ˆB(ξ)]. Set Θ(ξ) := [θ(ξ) + e icξ θ(ξ)]/2. Since e icξ θ(ξ)â(ξ) e idcξ θ(dξ) ˆB(ξ) = e i(s+c)ξ [θ(ξ)e isξ Â(ξ) θ(dξ)e i sξ ˆB(ξ)] it is easy to check that (2.6) holds Θ(ξ) = e icξ Θ(ξ). i(s+c)ξ = e [θ(ξ)â(ξ) θ(dξ) ˆB(ξ)], Lemma 2.3 was also given in [9, Lemma 3.2] which generalized the special case A(ξ) 1 in an earlier version of this paper. The following result is important for us to construct pairs of symmetric dual wavelet frames from symmetric refinable functions. 6

7 Proposition 2.4 Let d be a positive integer such that d 2. For any positive integer N any integer s, there exist 2π-periodic trigonometric polynomials c 1,..., c d with real coefficients such that (a) det C(), where C(ξ) is the matrix defined by c 1 (ξ) c 2 (ξ) c d (ξ) c 1 (ξ + 2π d C(ξ) := ) c2 (ξ + 2π) d cd (ξ + 2π) d ; (2.9) c 1 (ξ + 2π(d 1) ) c 2 (ξ + 2π(d 1) ) c d (ξ + 2π(d 1) ) d d d (b) (1 e iξ ) 2N c j (ξ) for all j = 2,..., d; (c) The 2π-periodic trigonometric polynomials c 1,..., c d have real coefficients c j (ξ) = e is ξ c j (ξ), j = 1,..., N d,s c j (ξ) = e is ξ c j (ξ), j = N d,s + 1,..., d, where the integer N d,s is defined to be { d+2 2 N d,s :=, when s is an even integer, d+1, when s 2 is an odd integer, (2.1) with x denoting the greatest integer which is no greater than x. In particular, when d = 2 s is even, one can choose c 1 (ξ) = e is ξ/2 c 2 (ξ) = e is ξ/2 (1 cos ξ) N. When d = 2 s is odd, one can choose c 1 (ξ) = e i(s 1)ξ/2 (1 + e iξ ) c 2 (ξ) = e i(s 1 2N)ξ/2 (1 e iξ ) 2N+1. Proof: Observe that a 2π-periodic trigonometric polynomial c with real coefficients satisfies c(ξ) = c(ξ) if only if c(ξ) = p(cos ξ) for some polynomial p with real coefficients. Let m := d+2. The main idea in the following proof is that we divide the set {2πj/d : j = 2,..., d 1} into three subsets I 1, I 2 I 3, where I 1 := {jπ : j =,..., 2m d 1}, I 2 := {2πj/d : j = 1,..., d m} I 3 := {2π 2πj/d : j = 1,..., d m}. It is not difficult to see that there exist polynomials p,..., p m 1 with real coefficients such that p j ( cos(2πk/d) ) = δj k, j, k =,..., m 1 When s is even, we define p (l) j (1) = l =,..., N 1 j = 1,..., m 1. c j (ξ) = e is ξ/2 p j 1 (cos ξ), j = 1,..., m c j+m (ξ) = e is ξ/2 (e iξ e iξ )p j (cos ξ), j = 1,..., d m. 7

8 In order to prove that det C(), it suffices to prove it for the case s =. When s =, by the choice of the polynomials p,..., p m 1, it is easy to see that after performing suitable permutations on rows columns of the matrix C(), the matrix C() becomes I 2m d I d m E E with E := diag ( e i2π/d, e i4π/d,..., e i2(d m)π/d). I d m E E Evidently, det C() = 4 d m d m 2πj j=1 sin. d When s is odd d is odd, we have 2m 1 = d we define c j (ξ) = e i(s 1)ξ/2 (1 + e iξ )p j 1 (cos ξ), j = 1,..., m c j+m (ξ) = e i(s 1)ξ/2 (1 e iξ )p j (cos ξ), j = 1,..., m 1. When s is odd d is even, we have 2m 2 = d we define c j (ξ) = e i(s 1)ξ/2 (1 + e iξ )p j 1 (cos ξ), j = 1,..., m 1 c j+m 1 (ξ) = e i(s 1)ξ/2 (1 e iξ )p j (cos ξ), j = 1,..., m 1. In order to prove that det C(), it is easy to see that it suffices to prove it for the case s = 1. When s = 1, by the choice of the polynomials p,..., p m 1, it is easy to see that after performing suitable permutations on rows columns of the matrix C(), the matrix C() becomes I 2m d I d m + E I d m E with E := diag ( e i2π/d, e i4π/d,..., e i2(d m)π/d). I d m + E I d m E Evidently, det C() = 4 d m d m 2πj j=1 sin d. All other claims can be easily verified. Proposition 2.4 still holds if we take p = 1 in the above proof. We observe that the degrees of the 2π-periodic trigonometric polynomials c 1,..., c d constructed in the proof of Proposition 2.4 can be made even smaller. 3 Construction of Dual Wavelet Frames In this section, we shall discuss how to construct pairs of dual d-wavelet frames from any two d-refinable functions. Let φ φ be two d-refinable functions in L 2 (R) with finitely supported masks a b, respectively. Suppose that a b satisfy the sum rules of orders m n with respect to the lattice dz for some positive integers m n, respectively; in other words, (1 + e iξ + + e i(d 1)ξ ) m â(ξ) (1 + e iξ + + e i(d 1)ξ ) n ˆb(ξ). In order to construct a pair of dual d-wavelet frames by Theorem 2.2, we need to construct finitely supported sequences a 1,..., a r, b 1,..., b r on Z a 2π-periodic trigonometric polynomial 8

9 Θ such that (2.2) (2.3) are satisfied. In this section, let us consider the special case r = d. When r = d, the relation in (2.3) can be rewritten as follows: â 1 (ξ) â 2 (ξ) â d (ξ) b â 1 (ξ + 2π) d â2 (ξ + 2π) â d d (ξ + 2π) 1 (ξ) Θ(ξ) Θ(dξ)â(ξ)ˆb(ξ) d b 2 (ξ) = Θ(dξ)â(ξ + 2π)ˆb(ξ) d.. â 1 (ξ + 2π(d 1) ) â d 2 (ξ + 2π(d 1) ) â d d (ξ + 2π(d 1) ) b d d (ξ) Θ(dξ)â(ξ + 2(d 1)π )ˆb(ξ) d (3.1) Define the wavelet functions ψ 1,..., ψ d, ψ 1,..., ψ d as in (1.5). Since ˆφ() = 1, it is easy to see that {ψ 1,..., ψ d } has vanishing moments of order n if only if (1 e iξ ) n â l (ξ) for all l = 1,..., d. So, in order to achieve high vanishing moments, it is necessary natural to require that â l (ξ) = (1 e iξ ) n g(ξ)c l (ξ), l = 1,..., d, (3.2) where g, c l, l = 1,..., d, are 2π-periodic trigonometric polynomials with g being a certain common divisor of all the 2π-periodic trigonometric polynomials âl, l = 1,..., d. Consequently, we have â 1 (ξ) â 2 (ξ) â d (ξ) â 1 (ξ + 2π) d â2 (ξ + 2π) â d d (ξ + 2π) d = D(ξ)C(ξ) â 1 (ξ + 2π(d 1) ) â d 2 (ξ + 2π(d 1) ) â d d (ξ + 2π(d 1) ) d with the matrix C(ξ) being defined in (2.9) (1 e iξ ) n g(ξ) D(ξ) := Denote (1 e i(ξ+ 2π d ) ) n g(ξ + 2π d )... f 1 (ξ) f 2 (ξ). := f d (ξ) (1 e 2π(d 1) i(ξ+ d ) ) n g(ξ + 2π(d 1) d ). h(ξ) := det C(ξ) (3.3) Θ(ξ) Θ(dξ)â(ξ)ˆb(ξ) (1 e iξ ) n g(ξ) h(ξ) Θ(dξ)â(ξ+2π/d)ˆb(ξ) (1 e i(ξ+2π/d) ) n g(ξ+2π/d) h(ξ). Θ(dξ)â(ξ+2π(d 1)/d)ˆb(ξ) (1 e i(ξ+2π(d 1)/d) ) n g(ξ+2π(d 1)/d) h(ξ). (3.4) Now, the equation in (3.1) can be rewritten as follows: b 1 (ξ) Θ(ξ) Θ(dξ)â(ξ)ˆb(ξ) f b 2 (ξ). = Θ(dξ)â(ξ + [C(ξ)] 1 [D(ξ)] 1 2π)ˆb(ξ) 1 (ξ) d. = adjc(ξ) f 2 (ξ)., (3.5) b d (ξ) Θ(dξ)â(ξ + 2(d 1)π )ˆb(ξ) f d (ξ) d 9

10 where adjc(ξ) denotes the adjacent matrix of C(ξ), that is, C(ξ) 1 = [det C(ξ)] 1 adjc(ξ). Clearly, all the entries in adjc(ξ) are 2π-periodic trigonometric polynomials since all the entries of C(ξ) are 2π-periodic trigonometric polynomials. Now, according to Theorem 2.2, the challenging question that remains is to choose an appropriate 2π-periodic trigonometric polynomial Θ with Θ() = 1 such that f 1,..., f d are 2π-periodic trigonometric polynomials b l () = for all l = 1,..., d. We have the following result on pairs of dual wavelet frames. Theorem 3.1 Let φ L 2 (R) φ L 2 (R) be two arbitrary d-refinable functions with dilation factor d finitely supported masks a b, respectively. Suppose that a b satisfy the sum rules of orders m n with respect to the lattice dz for some positive integers m n, respectively. Construct a 2π-periodic trigonometric polynomial Θ by Lemma 2.3 such that Θ() = 1, (1 e iξ ) n+m [Θ(ξ) Θ(dξ)â(ξ)ˆb(ξ)]. (3.6) Define the finitely supported sequences a 1,..., a d, b 1,..., b d on Z as in (3.2) (3.5) by taking g(ξ) = 1 c l (ξ) = e i(l 1)ξ, l = 1,..., d. Then {ψ 1,..., ψ d } { ψ 1,..., ψ d }, which are defined in (1.5), generate a pair of dual d-wavelet frames in L 2 (R). Moreover, {ψ 1,..., ψ d } { ψ 1,..., ψ d } have vanishing moments of orders n m, respectively. Note that ψ l = ψ 1 ( (l 1)/d) for l = 1,..., d. Proof: Since the mask b satisfies the sum rules of order n with respect to the lattice dz, we have (1+e iξ + +e i(d 1)ξ ) n ˆb(ξ). Consequently, (1 e i(ξ+2πj/d) ) n ˆb(ξ) for all j = 1,..., d 1. By c l (ξ) = e i(l 1)ξ, l = 1,..., d, we observe that h(ξ) := det C(ξ) is a monomial since C(ξ)C(ξ) T = di d, where the matrix C(ξ) is defined in (2.9). Now by the fact that g(ξ) = 1 h(ξ) is a monomial, it is straightforward to see that f 2,..., f d are 2π-periodic trigonometric polynomials. Since (1 + e iξ + + e i(d 1)ξ ) m â(ξ), we have (1 e iξ ) m â(ξ + 2πj/d) for all j = 1,..., d 1 therefore, (1 e iξ ) m f j (ξ) for all j = 2,..., d. On the other h, since g(ξ) = 1 h(ξ) is a monomial, it follows directly from (3.6) that f 1 is a 2π-periodic trigonometric polynomial (1 e iξ ) m f 1 (ξ). The proof is completed by our discussion before this theorem. We point out that Theorem 3.1 holds for general 2π-periodic trigonometric polynomials c 1,..., c d provided that det C(ξ) is a monomial, where C(ξ) is defined in (2.9). For a 2π-periodic trigonometric polynomial p, we define Z(p, ξ ) := sup{l N {} : (e iξ e iξ ) l p(ξ)} = inf { l N {} : p (l) (ξ ) }. (3.7) That is, Z(p, ξ ) denotes the multiplicity of the zeros of p(ξ) at the point ξ = ξ. Now we can generalize Theorem 3.1 the following is the main result in this section. Theorem 3.2 Let φ φ be two d-refinable functions in L 2 (R) with the dilation factor d finitely supported masks a b, respectively. Suppose that a b satisfy the sum rules of orders m n with respect to the lattice dz for some positive integers m n, respectively; that is, (1+e iξ + +e i(d 1)ξ ) m â(ξ) (1+e iξ + +e i(d 1)ξ ) n ˆb(ξ). Let g, c 1,..., c d be 2π-periodic trigonometric polynomials. Define h(ξ) := det C(ξ), where the matrix C(ξ) is defined in (2.9). Then there exists a 2π-periodic trigonometric polynomial Θ such that 1

11 (a) Θ() = 1, (b) All f l, l = 1,..., d, which are defined in (3.4), are 2π-periodic trigonometric polynomials, (c) (1 e iξ ) m f l (ξ) for all l = 1,..., d, if only if (1 + e iξ + + e i(d 1)ξ ) n+z(g,)+z(h,) ˆb(ξ) (3.8) Z(â, 2πj/d) Z(g, 2πj/d) Z(h, ) m j = 1,..., d 1. (3.9) (For example, when g(ξ) 1 h(), then (3.8) (3.9) are automatically satisfied.) For any 2π-periodic trigonometric polynomial Θ such that (a), (b) (c) are satisfied (such Θ can be easily obtained by solving a system of linear equations which are induced by the three conditions in (a), (b) (c) by long division), let a 1,..., a d, b 1,..., b d be defined in (3.2) (3.5). Define the wavelet functions ψ 1,..., ψ d, ψ 1,..., ψ d as in (1.5). Then {ψ 1,..., ψ d } { ψ 1,..., ψ d } generate a pair of dual d-wavelet frames with compact support in L 2 (R). Moreover, {ψ 1,..., ψ d } { ψ 1,..., ψ d } have vanishing moments of orders n m, respectively. Proof: Sufficiency: For simplicity of the presentation, let us assume here that g(ξ) 1 h() ; the complete proof for the general case can be found in the Appendix. Since h(), we define θ 1 (ξ) := e iξ(d 1)/2 h(ξ/d)/[h()] 2. By the fact h(ξ + 2π/d) = ( 1) d 1 h(ξ), we have θ 1 (ξ + 2π) = e i(ξ+2π)(d 1)/2 h(ξ/d + 2π/d)/[h()] 2 = θ 1 (ξ) therefore, θ 1 is a 2π-periodic trigonometric polynomial. Since h()θ 1 () = h()θ 1 ()â()ˆb() = 1, by Lemma 2.3, there exists a 2π-periodic trigonometric polynomial θ 2 such that θ 2 () = 1 (1 e iξ ) n+m θ 2 (ξ)[h(ξ)θ 1 (ξ)] θ 2 (dξ)[h(dξ)θ 1 (dξ)â(ξ)ˆb(ξ)]. (3.1) Now we take Θ(ξ) := θ 2 (ξ)h(ξ)θ 1 (ξ). Obviously, Θ() = 1. Noting that (1 + e iξ + + e i(d 1)ξ ) m â(ξ) (1+e iξ + +e i(d 1)ξ ) n ˆb(ξ), by a simple calculation (see the Appendix for more detail), we can verify that indeed all f l are 2π-periodic trigonometric polynomials (1 e iξ ) m f l (ξ) for all l = 1,..., d. Necessity: Since all f l are 2π-periodic trigonometric polynomials (1 e iξ ) m f l (ξ) for all l = 2,..., d, we have Z(f j+1, ) m Z(f j+1, 2πj/d) for all j = 1,..., d 1. By the definition of f l in (3.4) Θ() = ˆb() = 1, we deduce Z(â, 2πj/d) Z(g, 2πj/d) Z(h, ) = Z(f j+1, ) m j = 1,..., d 1. So, (3.9) must hold. Similarly, by the definition of f l in (3.4) Θ() = â() = 1, we have Z(ˆb, 2πj/d) n Z(g, ) Z(h, ) = Z(f j+1, 2πj/d) j = 1,..., d 1 which is equivalent to (3.8). B-spline functions are of great interest in many applications. The B-spline function of order m (m N), denoted by B m throughout this paper, can be obtained via the following recursive formula: B 1 = χ [,1], the characteristic function of the interval [, 1], B m (x) := 1 B m 1 (x t) dt, x R, m = 2, 3,.... (3.11) 11

12 The B-spline function B m C m 2 (R) is a function of piecewise polynomials of degree less than m, vanishes outside the interval [, m] is symmetric about the point x = m/2 (that is, B m (m x) = B m (x) for all x R). It is well known that the B-spline function B m is a d-refinable function satisfying ( ) 1 + e B iξ + + e i(d 1)ξ m m (dξ) = Bm (ξ). d Now we have the following result on wavelet frames which is a direct consequence of Theorem 3.2. Corollary 3.3 Let φ L 2 (R) be a d-refinable function with the dilation factor d a finitely supported mask a. Choose 2π-periodic trigonometric polynomials g, c 1,..., c d such that Z(â, 2πj/d) > Z(g, 2πj/d) + Z(h, ) j = 1,..., d 1, (3.12) where h(ξ) := det C(ξ) the matrix C(ξ) is defined in (2.9). For any positive integer n, define the wavelet functions ψ 1,..., ψ d by ψ l (dξ) = (1 e iξ ) n g(ξ)c l (ξ) ˆφ(ξ), l = 1,..., d. (3.13) Then {ψ 1,..., ψ d } generates a d-wavelet frame in L 2 (R) has vanishing moments of order n. Moreover, there exist compactly supported functions ψ 1,..., ψ d, which can be derived explicitly from any d-refinable function in L 2 (R) whose mask is finitely supported satisfies the sum rules of order n + Z(g, ) + Z(h, ) with respect to the lattice dz, such that {ψ 1,..., ψ d } { ψ 1,..., ψ d } generate a pair of dual d-wavelet frames in L 2 (R). Proof: Take φ to be any d-refinable function in L 2 (R) whose mask is finitely supported satisfies the sum rules of order n + Z(g, ) + Z(h, ) with respect to the lattice dz. For example, we can take φ = B n+z(g,)+z(h,) to be the B-spline function of order n + Z(g, ) + Z(h, ) which is defined in (3.11). Observe that (3.12) is equivalent to the condition in (3.9) with m = 1. Now Corollary 3.3 follows directly from Theorem 3.2. If in Corollary 3.3 we choose c l (ξ) = e i(l 1)ξ, l = 1,..., d, then we have the following result. Corollary 3.4 Let φ be a d-refinable function in L 2 (R) with the dilation factor d a finitely supported mask a. For any 2π-periodic trigonometric polynomial g such that g() = Z(â, 2πj/d) > Z(g, 2πj/d) j = 1,..., d 1, (3.14) define a wavelet function ψ by ˆψ(ξ) = g(ξ) ˆφ(ξ). Then ψ generates a d-wavelet frame in L 2 (R); that is, {ψ j,k : j, k Z} is a frame in L 2 (R), where ψ j,k := d j/2 ψ(d j k). Moreover, there exist compactly supported functions ψ 1,..., ψ d with arbitrary smoothness such that {ψ(d ), ψ(d 1),..., ψ(d d + 1)} { ψ 1, ψ 2,..., ψ d } generate a pair of dual d-wavelet frames in L 2 (R). Proof: Let c l (ξ) = e i(l 1)ξ, l = 1,..., d. Then it is easy to see that h() = det C() since C(ξ)C(ξ) T = di d, where the matrix C(ξ) is defined in (2.9). Clearly, by (3.14), (3.12) holds g()c l () = for all l = 1,..., d. Therefore, by Corollary 3.3, {ψ 1,..., ψ d }, which is defined in 12

13 (3.13) with n =, generates a d-wavelet frame. It is easy to check that ψ l = d ψ(d l + 1) for l = 1,..., d. Now the claim follows from the fact that {ψ 1,..., ψ d } { d 1/2 ψ} generate the same d-wavelet frame in L 2 (R). Let us make some remarks here for the above results. Through the proof of Theorem 3.2 in the Appendix the following argument, we shall see that the quantities Z(âl, 2πj/d), j =,..., d 1, which denote the multiplicity of zeros of the trigonometric polynomials âl (ξ) at ξ = 2πj/d, play a critical role in the construction of pairs of dual wavelet frames via Theorem 2.2. In the following, we shall see that (3.14) in Corollary 3.4 is not only a sufficient condition for having an MRA wavelet frame, but also a necessary condition. More precisely, (3.14) must hold if via Theorem 2.2 there exist compactly supported functions ψ 1,..., ψ d such that {ψ(d ), ψ(d 1),..., ψ(d d+1)}, which is given in Corollary 3.4, { ψ 1, ψ 2,..., ψ d } generate a pair of dual d-wavelet frames in L 2 (R). To see this point, by Theorem 2.2, (2.5) must hold with Θ, â, ˆb, âl, b l, l = 1,..., r being some 2π-periodic trigonometric polynomials such that (2.2) holds. In particular, it follows from (2.5) that r â(ξ + 2πj/d)ˆb(ξ)Θ(dξ) = â l (ξ + 2πj/d) b l (ξ) j = 1,..., d 1. (3.15) Therefore, by Θ() = ˆb() = 1, it follows from (3.15) that we must have l=1 Z(â, 2πj/d) min{z(âl, 2πj/d) + Z( b l, ) : l = 1,..., r} j = 1,..., d 1. (3.16) Similarly, by Θ() = â() = 1, it follows from (3.15) that Z(ˆb, 2πj/d) min{z(âl, ) + Z( b l, 2πj/d) : l = 1,..., r} j = 1,..., d 1. (3.17) By our choice of â l (ξ) = (1 e iξ ) n g(ξ)c l (ξ) in (3.2) r = d, we have Z(âl, 2πj/d) = Z(g, 2πj/d) + Z(c l, 2πj/d) for all j = 1,..., d 1 Z(âl, ) = n + Z(g, ) + Z(c l, ) for all l = 1,..., d. Consequently, we conclude from (3.16) that Z(â, 2πj/d) Z(g, 2πj/d) min{z(c l, 2πj/d) : l = 1,..., d} min{z( b l, ) : l = 1,..., d} j = 1,..., d 1, (3.18) which is quite similar to (3.9). Similarly, it follows from (3.17) that That is, Z(ˆb, 2πj/d) n + Z(g, ) + min{z(c l, ) : l = 1,..., d} j = 1,..., d 1. which is quite similar to (3.8). (1 + e iξ + + e i(d 1)ξ ) n+z(g,)+min{z(cl,) : l=1,...,d} ˆb(ξ), (3.19) By Theorem 2.2, it is necessary that b l () = therefore, min{z( b l, ) : l = 1,..., d} >. Since in Corollary 3.4 we set c l (ξ) = e i(l 1)ξ, l = 1,..., d, we deduce from (3.18) that Z(â, 2πj/d) > Z(g, 2πj/d) for all j = 1,..., d 1. So, (3.14) must be a necessary condition in Corollary 3.4. Let us consider the following simple example. 13

14 Example 3.5 Let B m be the B-spline function of order m defined in (3.11). Then B m is d- refinable with mask â(ξ) = d m (1 + e iξ + + e i(d 1)ξ ) m for any dilation factor d 2. For any positive integer n, define n ψ = ( 1) k n! k!(n k)! B m( k). k= (That is, ˆψ(ξ) = (1 e iξ ) n Bm (ξ).) Then ψ has vanishing moments of order n. We apply Corollary 3.4 with the special choice g(ξ) = (1 e iξ ) n ; note that g does not depend on d g(ξ) for all ξ (, 2π). We then conclude that ψ generates a d-wavelet frame in L 2 (R) for any dilation factor d 2. Finally, we demonstrate that by appropriately choosing the 2π-periodic trigonometric polynomials c l, l = 1,..., d, the set {ψ 2,..., ψ d } of wavelet functions can have vanishing moments of arbitrary order. Corollary 3.6 Let φ φ be two d-refinable functions in L 2 (R) with the dilation factor d finitely supported masks a b, respectively. Suppose that a b satisfy the sum rules of orders m n with respect to the lattice dz for some positive integers m n, respectively. Let N be an arbitrary nonnegative integer. Then one can construct finitely supported sequences a 1,..., a d, b 1,..., b d such that by defining the functions ψ 1,..., ψ d, ψ 1,..., ψ d as in (1.5), (a) {ψ 1,..., ψ d } { ψ 1,..., ψ d } generate a pair of dual d-wavelet frames in L 2 (R); (b) ψ 1, {ψ 2,..., ψ d }, ψ 1 { ψ 2,..., ψ d } have vanishing moments of orders n, n + 2N, m + 2N m, respectively. Proof: Let c 1,..., c d be the 2π-periodic trigonometric polynomials obtained in Proposition 2.4 with s =. By Proposition 2.4, h() = det C(). Take g(ξ) = 1. The rest of the claim can be verified similarly as in the proof of Theorem 3.1 with the modification: replace the factor (1 e iξ ) n+m in (3.1) by (1 e iξ ) n+m+2n. When φ φ are real-valued symmetric d-refinable functions, in this section, we didn t discuss whether one can obtain a pair of real-valued symmetric dual d-wavelet frames from φ φ. In the next section, we shall address such an issue in detail. 4 Real-valued Symmetric Dual Wavelet Frames Given two real-valued symmetric d-refinable functions in L 2 (R), it is of interest to construct from such two d-refinable functions pairs of dual d-wavelet frames which are also real-valued symmetric. In this section, we shall discuss in detail how to obtain pairs of real-valued symmetric dual wavelet frames from two real-valued symmetric refinable functions. Proposition 4.1 Let a, a 1,..., a r, b, b 1,..., b r be finitely supported sequences on Z let Θ be a 2π-periodic trigonometric polynomial such that (2.2) (2.5) are satisfied. Suppose that 14

15 a, b a 1,..., a r are sequences of real numbers. Define new sequences b 1,..., b r a new 2π-periodic trigonometric polynomial Θ as follows: Θ(ξ) := [Θ(ξ) + Θ( ξ)]/2 b l (ξ) := [ b l (ξ) + b l ( ξ)]/2, l = 1,..., r. Then Θ is a 2π-periodic trigonometric polynomial with real coefficients all b 1,..., b r sequences of real numbers satisfying are Θ() = 1, â l () = bl () =, l = 1,..., r (4.1) â(ξ + 2πj/d)ˆb(ξ) Θ(dξ) + r â l (ξ + 2πj/d) bl (ξ) = δ j Θ(ξ), j =,..., d 1. (4.2) l=1 Proof: Note that a is a sequence of real numbers if only if â( ξ) = â(ξ). Since a, a 1,..., a r are sequences of real numbers, taking the complex conjugate on both sides of (2.5) replacing ξ by ξ, we deduce from (2.5) that â(ξ 2πj/d) ˆb( ξ) Θ( dξ) + r â l (ξ 2πj/d) b l ( ξ) = δ j Θ( ξ), j =,..., d 1. l=1 Since b is a sequence of real numbers, we have ˆb( ξ) = ˆb(ξ). Therefore, â(ξ + 2πj/d)ˆb(ξ)Θ( dξ) + r â l (ξ + 2πj/d) b l ( ξ) = δ j Θ( ξ), j =,..., d 1. l=1 Equation (4.2) can be easily verified by adding the above identity to (2.5). When φ φ are real-valued refinable functions in L 2 (R), by Theorem 3.2 Proposition 4.1, we can always obtain pairs of real-valued dual wavelet frames. Proposition 4.2 Let a, a 1,..., a r, b, b 1,..., b r be finitely supported sequences on Z such that for some integers s s such that c = s s d 1 a s k = a k b s k = b k k Z (4.3) is an integer, a l s l k = ε l a l k k Z l = 1,..., r (4.4) for some ε l { 1, 1} some integers s l, l = 1,..., r, such that s s l d is an integer for all l = 1,..., r. Suppose that (2.2) (2.5) are satisfied with a 2π-periodic trigonometric polynomial Θ. Define new sequences b 1,..., b r a new 2π-periodic trigonometric polynomial Θ as follows: Θ(ξ) := [Θ(ξ) + Θ(ξ)e icξ ]/2 b l (ξ) := [ b l (ξ) + ε l bl (ξ)e i(s l+c)ξ ]/2, l = 1,..., r. Then both (4.1) (4.2) are satisfied. Moreover, Θ(ξ) = e icξ Θ(ξ) bl sl +c k = ε l bl k k Z l = 1,..., r. (4.5) 15

16 Proof: Note that a l s l k = ε la l k for all k Z if only if âl (ξ) = ε l e is lξ â l (ξ). Take the complex conjugate on (2.5), we have â(ξ + 2πj/d)ˆb(ξ) Θ(dξ) + r â l (ξ + 2πj/d) b l (ξ) = δ j Θ(ξ), j =,..., d 1. l=1 Note that â(ξ) = e isξ â(ξ) ˆb(ξ) = e i sξˆb(ξ). Since â l (ξ) = ε l e is lξ â l (ξ) for l = 1,..., r, the above equation becomes e is(ξ+2πj/d) â(ξ + 2πj/d)e i sξˆb(ξ)θ(dξ) + r ε l e is l(ξ+2πj/d)â l (ξ + 2πj/d) b l (ξ) = δ j Θ(ξ), (4.6) l=1 for j =,..., d 1. By assumption, s s = (d 1)c s s l dz for all l = 1,..., r. Multiplying the factor e i(s2πj/d cξ) with both sides of the equation (4.6), we have that for j =,..., d 1, δ j e icξ Θ(ξ) = δ j e i(s2πj/d cξ) Θ(ξ) = â(ξ + 2πj/d)ˆb(ξ)e i( s s c)ξ Θ(dξ) + = â(ξ + 2πj/d)ˆb(ξ)e idcξ Θ(dξ) + r ε l e i(s sl)2πj/d â l (ξ + 2πj/d)e i(s l+c)ξ bl (ξ) l=1 r â l (ξ + 2πj/d)ε l e i(s l+c)ξˆbl (ξ). l=1 Equation (4.2) can be verified by adding the above identity to (2.5). All other claims can be easily checked by computation. Let φ φ be two d-refinable functions with finitely supported masks a b, respectively. Then (4.3) implies that φ = φ( s ) φ s = φ( ). Define ψ d 1 d 1 l (dξ) := âl (ξ) ˆφ(ξ) ψ l (dξ) := bl (ξ) ˆ φ(ξ) for l = 1,..., r. Then (4.4) (4.5) in Proposition 4.2 imply that ψ l = ε l ψ l ( (d 1)sl + s d(d 1) ) ( (d 1)sl + s ) ψl = ε l ψl, l = 1,..., r. d(d 1) Now we have the following result on constructing pairs of real-valued symmetric dual wavelet frames from two real-valued symmetric refinable functions. Theorem 4.3 Let φ φ be two real-valued d-refinable functions in L 2 (R) with the dilation factor d finitely supported masks a b, respectively. Let N be a nonnegative integer J be an integer. Suppose that a b satisfy the sum rules of orders m n with respect to the lattice dz for some positive integers m n, respectively. Further assume that a s k = a k b s k = b k k Z (4.7) for some integers s s such that s s is an integer. Then one can construct finitely supported d 1 sequences a 1,..., a d, b 1,..., b d of real numbers a 2π-periodic trigonometric polynomial Θ satisfying (2.2) (2.3) such that the wavelet functions ψ 1,..., ψ d, ψ 1,..., ψ d, which are defined in (1.5), satisfy 16

17 (a) {ψ 1,..., ψ d } { ψ 1,..., ψ d } generate a pair of dual d-wavelet frames in L 2 (R); (b) ψ 1, {ψ 2,..., ψ d }, ψ 1 { ψ 2,..., ψ d } have vanishing moments of orders n, n + 2N, m + 2N m, respectively; (c) All the functions ψ 1,..., ψ d, ψ 1,..., ψ d are real-valued are either symmetric or antisymmetric about the point J +. More precisely, for all l = 1,..., d, 2 ψ l (x) = ε l ψ l (J + s 2(d 1) s d 1 x) ψl (x) = ε ψl l (J + s x) x R, d 1 where ε l = ( 1) n, l = 1,..., N d,s n ε l = ( 1) n+1, l = N d,s n + 1,..., d with the integer N d,s n being defined in (2.1). Proof: Let c 1,..., c d be 2π-periodic trigonometric polynomials satisfying all the conditions in Proposition 2.4 with s = s + dj n. Let g(ξ) 1 define the sequences a 1,..., a d as in (3.2). It is evident that a l s+dj k = ε la l k for all k Z l = 1,..., d. Let h(ξ) := det C(ξ), where the matrix C(ξ) is defined in (2.9). Observe that h(ξ + 2π/d) = ( 1) d 1 h(ξ). In the proof of Theorem 3.2, we can take θ 1 (ξ) = h(ξ/d) when d is odd θ 1 (ξ) = e iξ/2 h(ξ/d) when d is even. The claim follows directly from Theorem 3.2, Corollary 3.6, Propositions When a b are symmetric sequences satisfying (4.7), in order to have a symmetric 2πperiodic trigonometric polynomial Θ such that Θ(ξ) Θ(dξ)â(ξ)ˆb(ξ) is also either symmetric or antisymmetric, it is not difficult to see that one naturally require s s to be an integer. The d 1 restriction that s s should be an integer automatically disappears when d = 2. d 1 Finally, we mention that the earlier version of this paper inspired the authors of [9] to generalize the results in this paper to the case of d-refinable function vectors. For detail on constructing pairs of dual d-wavelet frames from d-refinable function vectors, see [9]. 5 Examples of Dual Wavelet Frames In this section, we shall give several examples to illustrate the main results in this paper on construction of pairs of dual wavelet frames from pairs of refinable functions. The following examples follow easily from the results in Sections 3 4 are produced by the program which consists of a collection of MAPLE routines is available from bhan. Example 5.1 Let the dilation factor d = 2. Let φ = φ = B 2 be the B-spline function of order 17

18 (a) (b) (c) (d) Figure 1: (a) (b) are the graphs of the wavelet functions ψ 1 ψ 2 in Example 5.1. (c) (d) are the graphs of their dual wavelet functions ψ 1 ψ 2. The functions ψ 1, ψ 2, ψ 1, ψ 2 have vanishing moments of orders 2, 4, 4, 2, respectively they are either symmetric or antisymmetric about the point 1. {ψ 1, ψ 2 } { ψ 1, ψ 2 } generate a pair of dual 2-wavelet frames. 2 given in (3.11). Taking N = 1 J =, by Theorem 4.3, we have [ ] 71(z 4 + z 4 ) 252(z 3 + z 3 ) + 12(z 2 + z 2 ) + 492(z 1 + z) + 98, Θ = 1 96 â 1 = (1 z) 2, â 2 = z 1 (1 z) 4, b 1 = (1 z) [ 71(z 8 + z 6 ) + 426(z 7 + z 5 ) (z 6 + z 4 ) (z 5 + z 3 ) (z 4 + z 2 ) (z 3 + z) (z 2 + 1) z ], 1 (1 [ b 2 z)2 = 71(z 6 + z 6 ) + 284(z 5 + z 5 ) + 458(z 4 + z 4 ) + 412(z 3 + z 3 ) 384 ] + 85(z 2 + z 2 ) 726(z 1 + z) 1228, where z = e iξ. Then {ψ 1, ψ 2 } { ψ 1, ψ 2 } generate a pair of dual 2-wavelet frames. The functions ψ 1, ψ 2, ψ 1, ψ 2 have vanishing moments of orders 2, 4, 4, 2, respectively they are either symmetric or antisymmetric about the point 1. See Figure 1 for their graphs. 18

19 (a) (b) (c) (d) Figure 2: (a) (b) are the graphs of the wavelet functions ψ 1 ψ 2 in Example 5.2. (c) (d) are the graphs of their dual wavelet functions ψ 1 ψ 2. Both {ψ 1, ψ 2 } { ψ 1, ψ 2 } have vanishing moments of order 4 generate a pair of dual 2-wavelet frames. Example 5.2 Let the dilation factor d = 2 φ = φ = B 4. By Theorem 3.1, we have Θ = 1 [ ] 311(z 3 + z 3 ) (z 2 + z 2 ) 14913(z 1 + z) , 1512 â 1 = (1 z) 4, â 2 := z(1 z) 4, (1 [ b 1 z)4 = 311(z 6 + z 6 ) (z 5 + z 5 ) (z 4 + z 4 ) (z 3 + z 3 ) ] (z 2 + z 2 ) (z 1 + z) , (1 [ b 2 z)4 = 311(z 4 + z 6 ) (z 3 + z 5 ) + 125(z 2 + z 4 ) (z 1 + z 3 ) ] (1 + z 2 ) z, where z = e iξ. Then {ψ 1, ψ 2 } { ψ 1, ψ 2 } generate a pair of dual 2-wavelet frames. Both {ψ 1, ψ 2 } { ψ 1, ψ 2 } have vanishing moments of order 4. See Figure 2 for their graphs. When the dilation factor d = 2 φ = φ = B m, pairs of dual 2-wavelet frames derived from φ φ have been also constructed in [6]. It turns out that up to some integer shifts the construction in [6] for B-spline functions coincides with the construction in Theorem 3.1 for B-spline functions with the particular choice Θ as given by Θ(ξ) = P m (sin 2 ξ/2) with ( 1 + j=1 So Example 5.2 was also obtained in [6]. (2j 1)!! (2j)!!(2j + 1) xj ) 2m = Pm (x) + O( x 2m ), x. 19

20 (a) (b) (c) (d) Figure 3: (a) (b) are the graphs of the wavelet functions ψ 1 ψ 2 in Example 5.3. (c) (d) are the graphs of their dual wavelet functions ψ 1 ψ 2. {ψ 1, ψ 2 } { ψ 1, ψ 2 } have vanishing moments of orders 2 4, respectively they generate a pair of dual 2-wavelet frames. Example 5.3 Let the dilation factor d = 2. Let φ = B 4 φ = B 2. By Theorem 3.1, we have Θ = 1 [ ] 13(z 1 + z 3 ) 112(1 + z 2 ) + 438z, 24 â 1 = (1 z) 2, â 2 = z(1 z) 2, (1 [ ] b 1 z)4 = 13(z 4 + z 4 ) + 78(z 3 + z 3 ) + 356(z 2 + z 2 ) (z 1 + z) , 1536 (1 [ ] b 2 z)4 = 39(z 2 + z 4 ) + 234(z 1 + z 3 ) + 613(1 + z 2 ) + 948z, 768 where z = e iξ. Then {ψ 1, ψ 2 } { ψ 1, ψ 2 } generate a pair of dual 2-wavelet frames have vanishing moments of orders 2 4, respectively. See Figure 3 for their graphs. Example 5.4 Let the dilation factor d = 3 φ = φ = B 3. By Theorem 3.1 Proposition 4.1, we have Θ = 1 [ ] 13(z 2 + z 2 ) 112(z 1 + z) + 438, 24 â 1 = (1 z) 3, â 2 = z(1 z) 3, â 3 = z 2 (1 z) 3, (1 [ b 1 z)3 = 13(z 9 + z 9 ) + 78(z 8 + z 8 ) + 273(z 7 + z 7 ) (z 6 + z 6 ) (z 5 + z 5 ) ] (z 4 + z 4 ) (z 3 + z 3 ) (z 2 + z 2 ) (z 1 + z) , (1 [ b 2 z)3 = 91z z z z z z b 3 = z 6 b2 (1/z), z z z z z z z z z 9 ], 2

21 (a) (b) (c) (d) (e) (f) Figure 4: (a), (b) (c) are the graphs of the wavelet functions ψ 1, ψ 2, ψ 3 in Example 5.4. (d), (e) (f) are the graphs of their dual wavelet functions ψ 1, ψ 2, ψ 3. {ψ 1, ψ 2, ψ 3 } { ψ 1, ψ 2, ψ 3 } have vanishing moments of order 3 generate a pair of dual 3-wavelet frames. where z = e iξ. Then {ψ 1, ψ 2, ψ 3 } { ψ 1, ψ 2, ψ 3 } generate a pair of dual 3-wavelet frames. Both {ψ 1, ψ 2, ψ 3 } { ψ 1, ψ 2, ψ 3 } have vanishing moments of order 3. See Figure 4 for their graphs. Finally, let us present an example using Theorem 3.2. Example 5.5 Let the dilation factor d = 2 φ = φ = B 3. Take n = 2, g = 1 e iξ, c 1 = 1 c 2 = e iξ e iξ in (3.2). Therefore, we have h = det C = 2(e iξ e iξ ) with the matrix C being defined in (2.9). Clearly, g(π) = h() =. By Theorem 3.2, we set Θ = z 2 (1 + z) 2 ( z z 2 )/8, â 1 = (z 1) 2 (1 + z), â 2 := z 1 (1 z) 3 (1 + z) 2, where z := e iξ. By the definition of f 1 f 2 in (3.4), we have f 1 = (1 z)[(z 3 + z 5 ) + 8(z 2 + z 4 ) + 3(z 1 + z 3 ) + 72(1 + z 2 ) z], f 2 = z 3 (1 z)(1 + z 2 ) 2 (1 4 z 2 + z 4 ). Consequently, it follows from (3.5) that b 1 = (1 z)2 (1 + z)[(z 4 + z 4 ) + 4(z 3 + z 3 ) + 14(z 2 + z 2 ) + 36(z 1 + z) + 58], b 2 = 1 [ ] 128 (z 1) (z 2 + z 4 ) + 4(z 1 + z 3 ) + 9(1 + z 2 ) + 16 z. Then {ψ 1, ψ 2 } { ψ 1, ψ 2 } generate a pair of dual 2-wavelet frames. See Figure 5 for their graphs. 21

22 (a) (b) (c) (d) Figure 5: (a) (b) are the graphs of the wavelet functions ψ 1 ψ 2 in Example 5.5. (c) (d) are the graphs of their dual wavelet functions ψ 1 ψ 2. {ψ 1, ψ 2 } { ψ 1, ψ 2 } have vanishing moments of orders 2 1, they generate a pair of dual 2-wavelet frames. 6 Appendix Proof of Theorem 3.2: We only need to prove the sufficiency part for the general case. Note that h(ξ+2π/d) = ( 1) d 1 h(ξ). By the definition of Z(p, ξ ) in (3.7), rewrite g(ξ) = (1 e iξ ) Z(g,) g 1 (ξ) h(ξ) = (1 e iξ ) Z(h,) h 1 (ξ) for some 2π-periodic trigonometric polynomials g 1 h 1 such that g 1 () h 1 (). Define 2π-periodic trigonometric polynomials F k G k by F (ξ) G (ξ) := â(ξ)ˆb(ξ) g 1 (ξ)h 1 (ξ) F k (ξ) G k (ξ) := â(ξ)ˆb(ξ 2πk/d), k = 1,..., d 1, (6.1) (1 e iξ ) n g(ξ) h(ξ) where F k G k have no common zeros on the set 2π Z for k =,..., d 1. Now we claim that d G k (2πj/d) j =,..., d 1 k =,..., d 1. (6.2) Since F k G k have no common zeros on 2π Z, in order to show (6.2), it suffices to show that d Z(F k, 2πj/d) Z(G k, 2πj/d) j =,..., d 1 k =,..., d 1 (6.3) which implies that Z(G k, 2πj/d) = therefore, (6.2) holds. Note that (3.8) implies that Z(ˆb, 2πk/d) n + Z(g, ) + Z(h, ) for all k = 1,..., d 1. By our assumptions in (3.8), it follows from (6.1) that for every k = 1,..., d 1, Z(F, ) Z(G, ) = Z(F k, ) Z(G k, ) = Z(ˆb, 2πk/d) n Z(g, ) Z(h, ). Similarly, for every j = 1,..., d 1, by (3.9), we have Z(F, 2πj/d) Z(G, 2πj/d) = Z(ˆb, 2πj/d) + Z(â, 2πj/d) Z(g 1, 2πj/d) Z(h 1, 2πj/d) for every k = 1,..., d 1, = Z(ˆb, 2πj/d) + Z(â, 2πj/d) Z(g, 2πj/d) Z(h, ) Z(F k, 2πj/d) Z(G k, 2πj/d) = Z(ˆb, 2π(j k)/d) + Z(â, 2πj/d) Z(g, 2πj/d) Z(h, ). 22

23 So, (6.3) holds therefore, (6.2) must be true. Define d 1 d 1 θ 1 (ξ) := G k (ξ/d + 2πj/d), ξ R. (6.4) k= j= By (6.2), we have θ 1 () θ 1 is a 2π-periodic trigonometric polynomial since θ 1 (ξ + 2π) = θ 1 (ξ). By Lemma 2.3, there exists a 2π-periodic trigonometric polynomial θ 2 such that θ 2 () = 1 (1 e iξ ) n+m+z(g,)+z(h,) θ 2 (ξ)[θ 1 (ξ)g 1 (ξ)h 1 (ξ)] θ 2 (dξ)[θ 1 (dξ)g 1 (dξ)h 1 (dξ)â(ξ)ˆb(ξ)]. (6.5) Since θ 1 (), g 1 () h 1 () are nonzero numbers, now we define Clearly, Θ() = 1 by (6.5), it is easy to see that Θ(ξ) := θ 2(ξ)θ 1 (ξ)g 1 (ξ)h 1 (ξ). (6.6) θ 1 ()g 1 ()h 1 () (1 e iξ ) n+m+z(g,)+z(h,) [Θ(ξ) Θ(dξ)a(ξ)b(ξ)]. (6.7) In the following, we show that with the choice of Θ in (6.6), all f l must be 2π-periodic trigonometric polynomials satisfying (1 e iξ ) m f l (ξ) for all l = 1,..., d. By computation, we have f 1 (ξ) = = = = Θ(ξ) Θ(dξ)â(ξ)ˆb(ξ) (1 e iξ ) n+z(g,)+z(h,) g 1 (ξ)h 1 (ξ) (1 e iξ ) m [ Θ(ξ) (1 e iξ ) n+m+z(g,)+z(h,) g 1 (ξ)h 1 (ξ) Θ(dξ)â(ξ)ˆb(ξ) ] g 1 (ξ)h 1 (ξ) (1 e iξ ) m [ θ 1 (ξ)θ 2 (ξ) (1 e iξ ) n+m+z(g,)+z(h,) θ 1 ()g 1 ()h 1 () Θ(dξ) ] G (ξ) F (ξ) (1 e iξ ) m [ (1 e iξ ) n+m+z(g,)+z(h,) θ 1 (ξ)θ 2 (ξ) θ 1 ()g 1 ()h 1 () θ 1(dξ) G (ξ) g 1 (dξ)h 1 (dξ)θ 2 (dξ) F (ξ) θ 1 ()g 1 ()h 1 () By the definition of θ 1 in (6.4), we see that θ 1 (dξ)/g (ξ) is a 2π-periodic trigonometric polynomial. Consequently, it follows from (6.7) the above identity that f 1 is a 2π-periodic trigonometric polynomial satisfying (1 e iξ ) m f 1 (ξ). For j = 1,..., d 1, by computation the fact h(ξ + 2π/d) = ( 1) d 1 h(ξ), we have f j+1 Θ(dξ)â(ξ + 2πj/d)ˆb(ξ) (ξ) = (1 e i(ξ+2πj/d) ) n g(ξ + 2πj/d) h(ξ) = Θ(dξ) ( 1)(d 1)j+1 G j (ξ + 2πj/d) F j(ξ + 2πj/d) = ( 1) (d 1)j+1 θ 1 (dξ) G j (ξ + 2πj/d) g 1 (dξ)h 1 (dξ)θ 2 (dξ) F j (ξ + 2πj/d). θ 1 ()g 1 ()h 1 () By the definition of θ 1 in (6.4), we see that θ 1 (dξ)/g j (ξ + 2πj/d) is a 2π-periodic trigonometric polynomial. By (3.4) (3.9), we have Z(f j+1, ) = Z(â, 2πj/d) Z(g, 2πj/d) Z(h, ) m, j = 1,..., d 1. Consequently, f j, j = 2,..., d, are 2π-periodic trigonometric polynomials satisfying (1 e iξ ) m f j (ξ) for all j = 2,..., d. So, by Theorem 2.2, {ψ 1,..., ψ d } { ψ 1,..., ψ d } generate a pair of dual d-wavelet frames in L 2 (R). Moreover, {ψ 1,..., ψ d } has vanishing moments of order n { ψ 1,..., ψ d } has vanishing moments of order m. 23 ].

24 Let â, ˆb, g h be given. Using long division, we observe that the conditions in (a), (b), (c) of Theorem 3.2 are equivalent to a set of linear equations on the coefficients of the 2π-periodic trigonometric polynomial Θ. Therefore, one can obtain a desirable 2π-periodic trigonometric polynomial Θ with smallest degree by solving a set of linear equations; the existence of such desirable Θ is guaranteed by the above proof of Theorem 3.2. Acknowledgment: We would like to thank the referees for their helpful comments suggestions which improved the presentation of this paper. In particular, we thank one of the referees for suggesting the first part of the proof of Lemma 2.3 which shortens our original proof. The authors also thank Dr. Qun Mo at the University of Alberta for several discussions with the second author which led to the remarks after Corollary 3.4. The second author also thanks PACM at Princeton University for their hospitality during his visit at PACM in the year References [1] A. Ben-Artzi A. Ron, On the integer translates of a compactly supported function: dual bases linear projectors, SIAM J. Math. Anal. 21 (199), [2] C. K. Chui, W. He, J. Stöckler, Compactly supported tight sibling frames with maximum vanishing moments, Appl. Comput. Harmon. Anal. 13 (22), [3] A. Cohen I. Daubechies, A stability criterion for biorthogonal wavelet bases their related subb coding scheme, Duke Math. J. 68 (1992), [4] I. Daubechies, The wavelet transform, time-frequency localization signal analysis, IEEE Trans. Inform. Theory 36 (199), [5] I. Daubechies, Ten lectures on wavelets, CBMS-NSF Regional Conference Series in Applied Mathematics, 61, SIAM, Philadelphia, PA, [6] I. Daubechies, B. Han, A. Ron Z. W. Shen, Framelets: MRA-based constructions of wavelet frames, Appl. Comput. Harmon. Anal. 14 (23), [7] B. Han, On dual wavelet tight frames, Appl. Comput. Harmon. Anal. 4 (1997), [8] B. Han, Compactly supported tight wavelet frames orthonormal wavelets of exponential decay with a general dilation matrix, J. Comput. Appl. Math. 155 (23), [9] B. Han Q. Mo, Multiwavelet frames from refinable function vectors, Adv. Comput. Math. 18 (23), [1] A. Ron, Factorization theorems for univariate splines on regular grids, Israel J. Math. 7 (199), [11] A. Ron Z. W. Shen, Affine systems in L 2 (R d ) II: dual systems, J. Fourier Anal. Appl. 3 (1997), [12] L. Villemoes, Sobolev regularity of wavelets stability of iterated filter banks, in Progress in wavelet analysis applications, Y. Meyer S. Roques eds., (1993),

CONSTRUCTIVE APPROXIMATION

CONSTRUCTIVE APPROXIMATION Constr Approx 24) 2: 325 352 DOI: 117/s365-4-567-4 CONSTRUCTIVE APPROXIMATION 24 Springer-Verlag New York, LLC Pairs of Dual Wavelet Frames from Any Two Refinable Functions Ingri Daubechies an Bin Han

More information

WAVELETS WITH SHORT SUPPORT

WAVELETS WITH SHORT SUPPORT WAVELETS WITH SHORT SUPPORT BIN HAN AND ZUOWEI SHEN Abstract. This paper is to construct Riesz wavelets with short support. Riesz wavelets with short support are of interests in both theory and application.

More information

COMPACTLY SUPPORTED ORTHONORMAL COMPLEX WAVELETS WITH DILATION 4 AND SYMMETRY

COMPACTLY SUPPORTED ORTHONORMAL COMPLEX WAVELETS WITH DILATION 4 AND SYMMETRY COMPACTLY SUPPORTED ORTHONORMAL COMPLEX WAVELETS WITH DILATION 4 AND SYMMETRY BIN HAN AND HUI JI Abstract. In this paper, we provide a family of compactly supported orthonormal complex wavelets with dilation

More information

BAND-LIMITED REFINABLE FUNCTIONS FOR WAVELETS AND FRAMELETS

BAND-LIMITED REFINABLE FUNCTIONS FOR WAVELETS AND FRAMELETS BAND-LIMITED REFINABLE FUNCTIONS FOR WAVELETS AND FRAMELETS WEIQIANG CHEN AND SAY SONG GOH DEPARTMENT OF MATHEMATICS NATIONAL UNIVERSITY OF SINGAPORE 10 KENT RIDGE CRESCENT, SINGAPORE 119260 REPUBLIC OF

More information

Biorthogonal Spline Type Wavelets

Biorthogonal Spline Type Wavelets PERGAMON Computers and Mathematics with Applications 0 (00 1 0 www.elsevier.com/locate/camwa Biorthogonal Spline Type Wavelets Tian-Xiao He Department of Mathematics and Computer Science Illinois Wesleyan

More information

SMALL SUPPORT SPLINE RIESZ WAVELETS IN LOW DIMENSIONS BIN HAN, QUN MO, AND ZUOWEI SHEN

SMALL SUPPORT SPLINE RIESZ WAVELETS IN LOW DIMENSIONS BIN HAN, QUN MO, AND ZUOWEI SHEN SMALL SUPPORT SPLINE RIESZ WAVELETS IN LOW DIMENSIONS BIN HAN, QUN MO, AND ZUOWEI SHEN Abstract. In [B. Han and Z. Shen, SIAM J. Math. Anal., 38 (006), 530 556], a family of univariate short support Riesz

More information

EXAMPLES OF REFINABLE COMPONENTWISE POLYNOMIALS

EXAMPLES OF REFINABLE COMPONENTWISE POLYNOMIALS EXAMPLES OF REFINABLE COMPONENTWISE POLYNOMIALS NING BI, BIN HAN, AND ZUOWEI SHEN Abstract. This short note presents four examples of compactly supported symmetric refinable componentwise polynomial functions:

More information

Construction of Biorthogonal Wavelets from Pseudo-splines

Construction of Biorthogonal Wavelets from Pseudo-splines Construction of Biorthogonal Wavelets from Pseudo-splines Bin Dong a, Zuowei Shen b, a Department of Mathematics, National University of Singapore, Science Drive 2, Singapore, 117543. b Department of Mathematics,

More information

MRA Frame Wavelets with Certain Regularities Associated with the Refinable Generators of Shift Invariant Spaces

MRA Frame Wavelets with Certain Regularities Associated with the Refinable Generators of Shift Invariant Spaces Chapter 6 MRA Frame Wavelets with Certain Regularities Associated with the Refinable Generators of Shift Invariant Spaces Tian-Xiao He Department of Mathematics and Computer Science Illinois Wesleyan University,

More information

POINT VALUES AND NORMALIZATION OF TWO-DIRECTION MULTIWAVELETS AND THEIR DERIVATIVES

POINT VALUES AND NORMALIZATION OF TWO-DIRECTION MULTIWAVELETS AND THEIR DERIVATIVES November 1, 1 POINT VALUES AND NORMALIZATION OF TWO-DIRECTION MULTIWAVELETS AND THEIR DERIVATIVES FRITZ KEINERT AND SOON-GEOL KWON,1 Abstract Two-direction multiscaling functions φ and two-direction multiwavelets

More information

Construction of Biorthogonal B-spline Type Wavelet Sequences with Certain Regularities

Construction of Biorthogonal B-spline Type Wavelet Sequences with Certain Regularities Illinois Wesleyan University From the SelectedWorks of Tian-Xiao He 007 Construction of Biorthogonal B-spline Type Wavelet Sequences with Certain Regularities Tian-Xiao He, Illinois Wesleyan University

More information

Wavelet Bi-frames with Uniform Symmetry for Curve Multiresolution Processing

Wavelet Bi-frames with Uniform Symmetry for Curve Multiresolution Processing Wavelet Bi-frames with Uniform Symmetry for Curve Multiresolution Processing Qingtang Jiang Abstract This paper is about the construction of univariate wavelet bi-frames with each framelet being symmetric.

More information

Construction of Multivariate Compactly Supported Orthonormal Wavelets

Construction of Multivariate Compactly Supported Orthonormal Wavelets Construction of Multivariate Compactly Supported Orthonormal Wavelets Ming-Jun Lai Department of Mathematics The University of Georgia Athens, GA 30602 April 30, 2004 Dedicated to Professor Charles A.

More information

446 SCIENCE IN CHINA (Series F) Vol. 46 introduced in refs. [6, ]. Based on this inequality, we add normalization condition, symmetric conditions and

446 SCIENCE IN CHINA (Series F) Vol. 46 introduced in refs. [6, ]. Based on this inequality, we add normalization condition, symmetric conditions and Vol. 46 No. 6 SCIENCE IN CHINA (Series F) December 003 Construction for a class of smooth wavelet tight frames PENG Lizhong (Λ Π) & WANG Haihui (Ξ ) LMAM, School of Mathematical Sciences, Peking University,

More information

Symmetric Wavelet Tight Frames with Two Generators

Symmetric Wavelet Tight Frames with Two Generators Symmetric Wavelet Tight Frames with Two Generators Ivan W. Selesnick Electrical and Computer Engineering Polytechnic University 6 Metrotech Center, Brooklyn, NY 11201, USA tel: 718 260-3416, fax: 718 260-3906

More information

The Canonical Dual Frame of a Wavelet Frame

The Canonical Dual Frame of a Wavelet Frame Applied and Computational Harmonic Analysis 12, 269 285 (2002) doi:10.1006/acha.2002.0381 The Canonical Dual Frame of a Wavelet Frame Ingrid Daubechies 1 PACM, Department of Mathematics, Princeton University,

More information

2 Infinite products and existence of compactly supported φ

2 Infinite products and existence of compactly supported φ 415 Wavelets 1 Infinite products and existence of compactly supported φ Infinite products.1 Infinite products a n need to be defined via limits. But we do not simply say that a n = lim a n N whenever the

More information

Band-limited Wavelets and Framelets in Low Dimensions

Band-limited Wavelets and Framelets in Low Dimensions Band-limited Wavelets and Framelets in Low Dimensions Likun Hou a, Hui Ji a, a Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, Singapore 119076 Abstract In this paper,

More information

On Dual Wavelet Tight Frames

On Dual Wavelet Tight Frames On Dual Wavelet Tight Frames Bin Han Department of Mathematical Sciences University of Alberta Edmonton, AB T6G 2G, Canada Email: bhan@vega.math.ualberta.ca Abstract. A characterization of multivariate

More information

Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets

Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets Ole Christensen, Alexander M. Lindner Abstract We characterize Riesz frames and prove that every Riesz frame

More information

Wavelets and regularization of the Cauchy problem for the Laplace equation

Wavelets and regularization of the Cauchy problem for the Laplace equation J. Math. Anal. Appl. 338 008440 1447 www.elsevier.com/locate/jmaa Wavelets and regularization of the Cauchy problem for the Laplace equation Chun-Yu Qiu, Chu-Li Fu School of Mathematics and Statistics,

More information

UNIVERSITY OF WISCONSIN-MADISON CENTER FOR THE MATHEMATICAL SCIENCES. Tight compactly supported wavelet frames of arbitrarily high smoothness

UNIVERSITY OF WISCONSIN-MADISON CENTER FOR THE MATHEMATICAL SCIENCES. Tight compactly supported wavelet frames of arbitrarily high smoothness UNIVERSITY OF WISCONSIN-MADISON CENTER FOR THE MATHEMATICAL SCIENCES Tight compactly supported wavelet frames of arbitrarily high smoothness Karlheinz Gröchenig Amos Ron Department of Mathematics U-9 University

More information

How smooth is the smoothest function in a given refinable space? Albert Cohen, Ingrid Daubechies, Amos Ron

How smooth is the smoothest function in a given refinable space? Albert Cohen, Ingrid Daubechies, Amos Ron How smooth is the smoothest function in a given refinable space? Albert Cohen, Ingrid Daubechies, Amos Ron A closed subspace V of L 2 := L 2 (IR d ) is called PSI (principal shift-invariant) if it is the

More information

A Riesz basis of wavelets and its dual with quintic deficient splines

A Riesz basis of wavelets and its dual with quintic deficient splines Note di Matematica 25, n. 1, 2005/2006, 55 62. A Riesz basis of wavelets and its dual with quintic deficient splines F. Bastin Department of Mathematics B37, University of Liège, B-4000 Liège, Belgium

More information

Bin Han Department of Mathematical Sciences University of Alberta Edmonton, Canada T6G 2G1

Bin Han Department of Mathematical Sciences University of Alberta Edmonton, Canada T6G 2G1 SYMMETRIC ORTHONORMAL SCALING FUNCTIONS AND WAVELETS WITH DILATION FACTOR d = Bin Han Department of Mathematical Sciences University of Alberta Edmonton, Canada T6G 2G1 email: bhan@math.ualberta.ca Abstract.

More information

SOME SMOOTH COMPACTLY SUPPORTED TIGHT WAVELET FRAMES WITH VANISHING MOMENTS

SOME SMOOTH COMPACTLY SUPPORTED TIGHT WAVELET FRAMES WITH VANISHING MOMENTS SOME SMOOTH COMPACTLY SUPPORTED TIGHT WAVELET FRAMES WITH VANISHING MOMENTS A. SAN ANTOLÍN AND R. A. ZALIK Abstract. Let A R d d, d 1 be a dilation matrix with integer entries and det A = 2. We construct

More information

LINEAR INDEPENDENCE OF PSEUDO-SPLINES

LINEAR INDEPENDENCE OF PSEUDO-SPLINES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 134, Number 9, September 006, Pages 685 694 S 000-9939(06)08316-X Article electronically published on March 3, 006 LINEAR INDEPENDENCE OF PSEUDO-SPLINES

More information

Bin Han Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada

Bin Han Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada Bivariate (Two-dimensional) Wavelets Bin Han Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada Article Outline Glossary I. Definitions II. Introduction

More information

Affine and Quasi-Affine Frames on Positive Half Line

Affine and Quasi-Affine Frames on Positive Half Line Journal of Mathematical Extension Vol. 10, No. 3, (2016), 47-61 ISSN: 1735-8299 URL: http://www.ijmex.com Affine and Quasi-Affine Frames on Positive Half Line Abdullah Zakir Husain Delhi College-Delhi

More information

Quintic deficient spline wavelets

Quintic deficient spline wavelets Quintic deficient spline wavelets F. Bastin and P. Laubin January 19, 4 Abstract We show explicitely how to construct scaling functions and wavelets which are quintic deficient splines with compact support

More information

The Method of Virtual Components in the Multivariate Setting

The Method of Virtual Components in the Multivariate Setting The Method of Virtual Components in the Multivariate Setting Ming-Jun Lai and Alexander Petukhov May 21, 2007 Abstract We describe the so-called method of virtual components for tight wavelet framelets

More information

We have to prove now that (3.38) defines an orthonormal wavelet. It belongs to W 0 by Lemma and (3.55) with j = 1. We can write any f W 1 as

We have to prove now that (3.38) defines an orthonormal wavelet. It belongs to W 0 by Lemma and (3.55) with j = 1. We can write any f W 1 as 88 CHAPTER 3. WAVELETS AND APPLICATIONS We have to prove now that (3.38) defines an orthonormal wavelet. It belongs to W 0 by Lemma 3..7 and (3.55) with j =. We can write any f W as (3.58) f(ξ) = p(2ξ)ν(2ξ)

More information

Applied and Computational Harmonic Analysis 11, (2001) doi: /acha , available online at

Applied and Computational Harmonic Analysis 11, (2001) doi: /acha , available online at Applied and Computational Harmonic Analysis 11 305 31 (001 doi:10.1006/acha.001.0355 available online at http://www.idealibrary.com on LETTER TO THE EDITOR Construction of Multivariate Tight Frames via

More information

Construction of Multivariate Compactly Supported Tight Wavelet Frames

Construction of Multivariate Compactly Supported Tight Wavelet Frames Construction of Multivariate Compactly Supported Tight Wavelet Frames Ming-Jun Lai and Joachim Stöckler April 5, 2006 Abstract Two simple constructive methods are presented to compute compactly supported

More information

Shift-Invariant Spaces and Linear Operator Equations. Rong-Qing Jia Department of Mathematics University of Alberta Edmonton, Canada T6G 2G1.

Shift-Invariant Spaces and Linear Operator Equations. Rong-Qing Jia Department of Mathematics University of Alberta Edmonton, Canada T6G 2G1. Shift-Invariant Spaces and Linear Operator Equations Rong-Qing Jia Department of Mathematics University of Alberta Edmonton, Canada T6G 2G1 Abstract In this paper we investigate the structure of finitely

More information

A CLASS OF M-DILATION SCALING FUNCTIONS WITH REGULARITY GROWING PROPORTIONALLY TO FILTER SUPPORT WIDTH

A CLASS OF M-DILATION SCALING FUNCTIONS WITH REGULARITY GROWING PROPORTIONALLY TO FILTER SUPPORT WIDTH PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 26, Number 2, December 998, Pages 350 3506 S 0002-9939(98)05070-9 A CLASS OF M-DILATION SCALING FUNCTIONS WITH REGULARITY GROWING PROPORTIONALLY

More information

INFINITUDE OF MINIMALLY SUPPORTED TOTALLY INTERPOLATING BIORTHOGONAL MULTIWAVELET SYSTEMS WITH LOW APPROXIMATION ORDERS. Youngwoo Choi and Jaewon Jung

INFINITUDE OF MINIMALLY SUPPORTED TOTALLY INTERPOLATING BIORTHOGONAL MULTIWAVELET SYSTEMS WITH LOW APPROXIMATION ORDERS. Youngwoo Choi and Jaewon Jung Korean J. Math. (0) No. pp. 7 6 http://dx.doi.org/0.68/kjm.0...7 INFINITUDE OF MINIMALLY SUPPORTED TOTALLY INTERPOLATING BIORTHOGONAL MULTIWAVELET SYSTEMS WITH LOW APPROXIMATION ORDERS Youngwoo Choi and

More information

Approximation by Multiple Refinable Functions

Approximation by Multiple Refinable Functions Approximation by Multiple Refinable Functions Rong-Qing Jia, S. D. Riemenschneider, and Ding-Xuan Zhou Department of Mathematical Sciences University of Alberta Edmonton, Canada T6G 2G1 Abstract We consider

More information

Isotropic Multiresolution Analysis: Theory and Applications

Isotropic Multiresolution Analysis: Theory and Applications Isotropic Multiresolution Analysis: Theory and Applications Saurabh Jain Department of Mathematics University of Houston March 17th 2009 Banff International Research Station Workshop on Frames from first

More information

An Introduction to Filterbank Frames

An Introduction to Filterbank Frames An Introduction to Filterbank Frames Brody Dylan Johnson St. Louis University October 19, 2010 Brody Dylan Johnson (St. Louis University) An Introduction to Filterbank Frames October 19, 2010 1 / 34 Overview

More information

Wavelets: Theory and Applications. Somdatt Sharma

Wavelets: Theory and Applications. Somdatt Sharma Wavelets: Theory and Applications Somdatt Sharma Department of Mathematics, Central University of Jammu, Jammu and Kashmir, India Email:somdattjammu@gmail.com Contents I 1 Representation of Functions 2

More information

Multiresolution analysis by infinitely differentiable compactly supported functions. N. Dyn A. Ron. September 1992 ABSTRACT

Multiresolution analysis by infinitely differentiable compactly supported functions. N. Dyn A. Ron. September 1992 ABSTRACT Multiresolution analysis by infinitely differentiable compactly supported functions N. Dyn A. Ron School of of Mathematical Sciences Tel-Aviv University Tel-Aviv, Israel Computer Sciences Department University

More information

Properties of Dual Pseudo-Splines

Properties of Dual Pseudo-Splines Properties of Dual Pseudo-Splines Bin Dong, Nira Dyn, Kai Hormann IfI Technical Report Series IfI-09-03 Impressum Publisher: Institut für Informatik, Technische Universität Clausthal Julius-Albert Str.

More information

Two-channel sampling in wavelet subspaces

Two-channel sampling in wavelet subspaces DOI: 10.1515/auom-2015-0009 An. Şt. Univ. Ovidius Constanţa Vol. 23(1),2015, 115 125 Two-channel sampling in wavelet subspaces J.M. Kim and K.H. Kwon Abstract We develop two-channel sampling theory in

More information

Boundary functions for wavelets and their properties

Boundary functions for wavelets and their properties Graduate Theses and Dissertations Iowa State University Capstones, Theses and Dissertations 009 Boundary functions for wavelets and their properties Ahmet Alturk Iowa State University Follow this and additional

More information

arxiv: v2 [math.fa] 27 Sep 2016

arxiv: v2 [math.fa] 27 Sep 2016 Decomposition of Integral Self-Affine Multi-Tiles Xiaoye Fu and Jean-Pierre Gabardo arxiv:43.335v2 [math.fa] 27 Sep 26 Abstract. In this paper we propose a method to decompose an integral self-affine Z

More information

Nonseparable multivariate wavelets. Ghan Shyam Bhatt. A dissertation submitted to the graduate faculty

Nonseparable multivariate wavelets. Ghan Shyam Bhatt. A dissertation submitted to the graduate faculty Nonseparable multivariate wavelets by Ghan Shyam Bhatt A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Applied

More information

Construction of wavelets. Rob Stevenson Korteweg-de Vries Institute for Mathematics University of Amsterdam

Construction of wavelets. Rob Stevenson Korteweg-de Vries Institute for Mathematics University of Amsterdam Construction of wavelets Rob Stevenson Korteweg-de Vries Institute for Mathematics University of Amsterdam Contents Stability of biorthogonal wavelets. Examples on IR, (0, 1), and (0, 1) n. General domains

More information

Construction of Orthonormal Quasi-Shearlets based on quincunx dilation subsampling

Construction of Orthonormal Quasi-Shearlets based on quincunx dilation subsampling Construction of Orthonormal Quasi-Shearlets based on quincunx dilation subsampling Rujie Yin Department of Mathematics Duke University USA Email: rujie.yin@duke.edu arxiv:1602.04882v1 [math.fa] 16 Feb

More information

Digital Affine Shear Filter Banks with 2-Layer Structure

Digital Affine Shear Filter Banks with 2-Layer Structure Digital Affine Shear Filter Banks with -Layer Structure Zhihua Che and Xiaosheng Zhuang Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong Email: zhihuache-c@my.cityu.edu.hk,

More information

An Introduction to Wavelets and some Applications

An Introduction to Wavelets and some Applications An Introduction to Wavelets and some Applications Milan, May 2003 Anestis Antoniadis Laboratoire IMAG-LMC University Joseph Fourier Grenoble, France An Introduction to Wavelets and some Applications p.1/54

More information

Available at ISSN: Vol. 2, Issue 2 (December 2007) pp (Previously Vol. 2, No.

Available at   ISSN: Vol. 2, Issue 2 (December 2007) pp (Previously Vol. 2, No. Available at http://pvamu.edu.edu/pages/398.asp ISSN: 193-9466 Vol., Issue (December 007) pp. 136 143 (Previously Vol., No. ) Applications and Applied Mathematics (AAM): An International Journal A New

More information

SDP APPROXIMATION OF THE HALF DELAY AND THE DESIGN OF HILBERT PAIRS. Bogdan Dumitrescu

SDP APPROXIMATION OF THE HALF DELAY AND THE DESIGN OF HILBERT PAIRS. Bogdan Dumitrescu SDP APPROXIMATION OF THE HALF DELAY AND THE DESIGN OF HILBERT PAIRS Bogdan Dumitrescu Tampere International Center for Signal Processing Tampere University of Technology P.O.Box 553, 3311 Tampere, FINLAND

More information

A short introduction to frames, Gabor systems, and wavelet systems

A short introduction to frames, Gabor systems, and wavelet systems Downloaded from orbit.dtu.dk on: Mar 04, 2018 A short introduction to frames, Gabor systems, and wavelet systems Christensen, Ole Published in: Azerbaijan Journal of Mathematics Publication date: 2014

More information

Frame Diagonalization of Matrices

Frame Diagonalization of Matrices Frame Diagonalization of Matrices Fumiko Futamura Mathematics and Computer Science Department Southwestern University 00 E University Ave Georgetown, Texas 78626 U.S.A. Phone: + (52) 863-98 Fax: + (52)

More information

Sparse Multidimensional Representation using Shearlets

Sparse Multidimensional Representation using Shearlets Sparse Multidimensional Representation using Shearlets Demetrio Labate a, Wang-Q Lim b, Gitta Kutyniok c and Guido Weiss b, a Department of Mathematics, North Carolina State University, Campus Box 8205,

More information

A characterization of nonhomogeneous wavelet dual frames in Sobolev spaces

A characterization of nonhomogeneous wavelet dual frames in Sobolev spaces Zhang and Li Journal of Inequalitie and Application 016) 016:88 DOI 10.1186/13660-016-13-8 R E S E A R C H Open Acce A characterization of nonhomogeneou wavelet dual frame in Sobolev pace Jian-Ping Zhang

More information

WAVELETS WITH COMPOSITE DILATIONS

WAVELETS WITH COMPOSITE DILATIONS ELECTRONIC RESEARCH ANNOUNCEMENTS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Pages 000 000 (Xxxx XX, XXXX S 1079-6762(XX0000-0 WAVELETS WITH COMPOSITE DILATIONS KANGHUI GUO, DEMETRIO LABATE, WANG-Q

More information

Affine frames, GMRA s, and the canonical dual

Affine frames, GMRA s, and the canonical dual STUDIA MATHEMATICA 159 (3) (2003) Affine frames, GMRA s, and the canonical dual by Marcin Bownik (Ann Arbor, MI) and Eric Weber (Laramie, WY) Abstract. We show that if the canonical dual of an affine frame

More information

Harmonic Analysis: from Fourier to Haar. María Cristina Pereyra Lesley A. Ward

Harmonic Analysis: from Fourier to Haar. María Cristina Pereyra Lesley A. Ward Harmonic Analysis: from Fourier to Haar María Cristina Pereyra Lesley A. Ward Department of Mathematics and Statistics, MSC03 2150, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA E-mail address:

More information

Compactly Supported Tight Frames Associated with Refinable Functions 1. Communicated by Guido L. Weiss Received July 27, 1999

Compactly Supported Tight Frames Associated with Refinable Functions 1. Communicated by Guido L. Weiss Received July 27, 1999 Applied and Computational Harmonic Analysis 8, 93 319 (000) doi:10.1006/acha.000.0301, available online at http://www.idealibrary.com on LETTER TO THE EDITOR Compactly Supported Tight Frames Associated

More information

The Construction of Smooth Parseval Frames of Shearlets

The Construction of Smooth Parseval Frames of Shearlets Math. Model. Nat. Phenom. Vol., No., 01 The Construction of Smooth Parseval Frames of Shearlets K. Guo b and D. Labate a1 a Department of Mathematics, University of Houston, Houston, Texas 7704 USA b Department

More information

DAVID FERRONE. s k s k 2j = δ 0j. s k = 1

DAVID FERRONE. s k s k 2j = δ 0j. s k = 1 FINITE BIORTHOGONAL TRANSFORMS AND MULTIRESOLUTION ANALYSES ON INTERVALS DAVID FERRONE 1. Introduction Wavelet theory over the entire real line is well understood and elegantly presented in various textboos

More information

Approximately dual frames in Hilbert spaces and applications to Gabor frames

Approximately dual frames in Hilbert spaces and applications to Gabor frames Approximately dual frames in Hilbert spaces and applications to Gabor frames Ole Christensen and Richard S. Laugesen October 22, 200 Abstract Approximately dual frames are studied in the Hilbert space

More information

UNIVERSITY OF WISCONSIN-MADISON CENTER FOR THE MATHEMATICAL SCIENCES. On the construction of multivariate (pre)wavelets

UNIVERSITY OF WISCONSIN-MADISON CENTER FOR THE MATHEMATICAL SCIENCES. On the construction of multivariate (pre)wavelets UNIVERSITY OF WISCONSIN-MADISON CENTER FOR THE MATHEMATICAL SCIENCES On the construction of multivariate (pre)wavelets Carl de Boor 1, Ronald A. DeVore 2, and Amos Ron 1 Technical Summary Report #92-09

More information

Approximation Properties and Construction of Hermite Interpolants and Biorthogonal Multiwavelets. Bin Han

Approximation Properties and Construction of Hermite Interpolants and Biorthogonal Multiwavelets. Bin Han Approximation Properties and Construction of Hermite Interpolants and Biorthogonal Multiwavelets Bin Han Abstract. Multiwavelets are generated from refinable function vectors by using multiresolution analysis.

More information

MGA Tutorial, September 08, 2004 Construction of Wavelets. Jan-Olov Strömberg

MGA Tutorial, September 08, 2004 Construction of Wavelets. Jan-Olov Strömberg MGA Tutorial, September 08, 2004 Construction of Wavelets Jan-Olov Strömberg Department of Mathematics Royal Institute of Technology (KTH) Stockholm, Sweden Department of Numerical Analysis and Computer

More information

Extremely local MR representations:

Extremely local MR representations: Extremely local MR representations: L-CAMP Youngmi Hur 1 & Amos Ron 2 Workshop on sparse representations: UMD, May 2005 1 Math, UW-Madison 2 CS, UW-Madison Wavelet and framelet constructions History bits

More information

Density results for frames of exponentials

Density results for frames of exponentials Density results for frames of exponentials P. G. Casazza 1, O. Christensen 2, S. Li 3, and A. Lindner 4 1 Department of Mathematics, University of Missouri Columbia, Mo 65211 USA pete@math.missouri.edu

More information

Nonlinear Approximation Schemes Associated With Nonseparable Wavelet Bi-frames

Nonlinear Approximation Schemes Associated With Nonseparable Wavelet Bi-frames Nonlinear Approximation Schemes Associated With Nonseparable Wavelet Bi-frames Martin Ehler September 26, 2008 Abstract In the present paper, we study nonlinear approximation properties of multivariate

More information

Matrix-Valued Wavelets. Ahmet Alturk. A creative component submitted to the graduate faculty

Matrix-Valued Wavelets. Ahmet Alturk. A creative component submitted to the graduate faculty Matrix-Valued Wavelets by Ahmet Alturk A creative component submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Mathematics Program of

More information

MULTIRESOLUTION AND WAVELETS. Rong-Qing Jia 1,2 Zuowei Shen 2,3 Department of Mathematics Center for Mathematical Sciences. Edmonton Madison, WI 53705

MULTIRESOLUTION AND WAVELETS. Rong-Qing Jia 1,2 Zuowei Shen 2,3 Department of Mathematics Center for Mathematical Sciences. Edmonton Madison, WI 53705 MULTIRESOLUTION AND WAVELETS Rong-Qing Jia 1,2 Zuowei Shen 2,3 Department of Mathematics Center for Mathematical Sciences University of Alberta University of Wisconsin Edmonton Madison, WI 53705 Canada

More information

A survey on frame theory. Frames in general Hilbert spaces. Construction of dual Gabor frames. Construction of tight wavelet frames

A survey on frame theory. Frames in general Hilbert spaces. Construction of dual Gabor frames. Construction of tight wavelet frames A survey on frame theory Frames in general Hilbert spaces Construction of dual Gabor frames Construction of tight wavelet frames Ole Christensen Technical University of Denmark Department of Mathematics

More information

Size properties of wavelet packets generated using finite filters

Size properties of wavelet packets generated using finite filters Rev. Mat. Iberoamericana, 18 (2002, 249 265 Size properties of wavelet packets generated using finite filters Morten Nielsen Abstract We show that asymptotic estimates for the growth in L p (R- norm of

More information

Riesz wavelets and generalized multiresolution analyses

Riesz wavelets and generalized multiresolution analyses Appl. Comput. Harmon. Anal. 14 (2003) 181 194 www.elsevier.com/locate/acha Riesz wavelets and generalized multiresolution analyses Marcin Bownik Department of Mathematics, University of Michigan, 525 East

More information

DORIN ERVIN DUTKAY AND PALLE JORGENSEN. (Communicated by )

DORIN ERVIN DUTKAY AND PALLE JORGENSEN. (Communicated by ) PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 OVERSAMPLING GENERATES SUPER-WAVELETS arxiv:math/0511399v1 [math.fa] 16 Nov 2005 DORIN ERVIN DUTKAY

More information

Construction of scaling partitions of unity

Construction of scaling partitions of unity Construction of scaling partitions of unity arxiv:1710.08290v1 [math.fa] 23 Oct 2017 Ole Christensen and Say Song Goh Abstract Partitions of unity in R d formed by (matrix) scales of a fixed function appear

More information

Journal of Mathematical Analysis and Applications. Properties of oblique dual frames in shift-invariant systems

Journal of Mathematical Analysis and Applications. Properties of oblique dual frames in shift-invariant systems J. Math. Anal. Appl. 356 (2009) 346 354 Contents lists available at ScienceDirect Journal of Mathematical Analysis and Applications www.elsevier.com/locate/jmaa Properties of oblique dual frames in shift-invariant

More information

Multiscale Frame-based Kernels for Image Registration

Multiscale Frame-based Kernels for Image Registration Multiscale Frame-based Kernels for Image Registration Ming Zhen, Tan National University of Singapore 22 July, 16 Ming Zhen, Tan (National University of Singapore) Multiscale Frame-based Kernels for Image

More information

NEW CONSTRUCTIONS OF PIECEWISE-CONSTANT WAVELETS

NEW CONSTRUCTIONS OF PIECEWISE-CONSTANT WAVELETS NEW CONSTRUCTIONS OF PIECEWISE-CONSTANT WAVELETS YOUNGMI HUR AND AMOS RON Abstract. The classical Haar wavelet system of L 2 (R n ) is commonly considered to be very local in space. We introduce and study

More information

ON THE DIMENSION FUNCTION OF ORTHONORMAL WAVELETS. Orthonormal wavelets are square-integrable functions ψ such that the set

ON THE DIMENSION FUNCTION OF ORTHONORMAL WAVELETS. Orthonormal wavelets are square-integrable functions ψ such that the set PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 18, Number 7, Pages 043 049 S 000-9939(99)0556-9 Article electronically published on November 1, 1999 ON THE DIMENSION FUNCTION OF ORTHONORMAL WAVELETS

More information

On Riesz-Fischer sequences and lower frame bounds

On Riesz-Fischer sequences and lower frame bounds On Riesz-Fischer sequences and lower frame bounds P. Casazza, O. Christensen, S. Li, A. Lindner Abstract We investigate the consequences of the lower frame condition and the lower Riesz basis condition

More information

Semi-orthogonal wavelet frames on positive half-line using the Walsh Fourier transform

Semi-orthogonal wavelet frames on positive half-line using the Walsh Fourier transform NTMSCI 6, No., 175-183 018) 175 New Trends in Mathematical Sciences http://dx.doi.org/10.085/ntmsci.018.83 Semi-orthogonal wavelet frames on positive half-line using the Walsh Fourier transform Abdullah

More information

L. Levaggi A. Tabacco WAVELETS ON THE INTERVAL AND RELATED TOPICS

L. Levaggi A. Tabacco WAVELETS ON THE INTERVAL AND RELATED TOPICS Rend. Sem. Mat. Univ. Pol. Torino Vol. 57, 1999) L. Levaggi A. Tabacco WAVELETS ON THE INTERVAL AND RELATED TOPICS Abstract. We use an abstract framework to obtain a multilevel decomposition of a variety

More information

CHAPTER 3 Further properties of splines and B-splines

CHAPTER 3 Further properties of splines and B-splines CHAPTER 3 Further properties of splines and B-splines In Chapter 2 we established some of the most elementary properties of B-splines. In this chapter our focus is on the question What kind of functions

More information

CENTER FOR THE MATHEMATICAL SCIENCES. Characterizations of linear independence and stability. of the shifts of a univariate renable function

CENTER FOR THE MATHEMATICAL SCIENCES. Characterizations of linear independence and stability. of the shifts of a univariate renable function UNIVERSITY OF WISCONSIN-MADISON CENTER FOR THE MATHEMATICAL SCIENCES Characterizations of linear independence and stability of the shifts of a univariate renable function in terms of its renement mask

More information

ON SPECTRAL CANTOR MEASURES. 1. Introduction

ON SPECTRAL CANTOR MEASURES. 1. Introduction ON SPECTRAL CANTOR MEASURES IZABELLA LABA AND YANG WANG Abstract. A probability measure in R d is called a spectral measure if it has an orthonormal basis consisting of exponentials. In this paper we study

More information

We denote the space of distributions on Ω by D ( Ω) 2.

We denote the space of distributions on Ω by D ( Ω) 2. Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study

More information

Linear Independence of Finite Gabor Systems

Linear Independence of Finite Gabor Systems Linear Independence of Finite Gabor Systems 1 Linear Independence of Finite Gabor Systems School of Mathematics Korea Institute for Advanced Study Linear Independence of Finite Gabor Systems 2 Short trip

More information

Frame Wavelet Sets in R d

Frame Wavelet Sets in R d Frame Wavelet Sets in R d X. DAI, Y. DIAO Department of Mathematics University of North Carolina at Charlotte Charlotte, NC 28223 xdai@uncc.edu Q. GU Department of Mathematics Each China Normal University

More information

Fourier Transform & Sobolev Spaces

Fourier Transform & Sobolev Spaces Fourier Transform & Sobolev Spaces Michael Reiter, Arthur Schuster Summer Term 2008 Abstract We introduce the concept of weak derivative that allows us to define new interesting Hilbert spaces the Sobolev

More information

Oversampling, Quasi Affine Frames and Wave Packets

Oversampling, Quasi Affine Frames and Wave Packets Oversampling, Quasi ffine Frames and Wave Packets Eugenio Hernández, Matemáticas, Universidad utónoma de Madrid, Demetrio Labate, Department of Mathematics, Washington University, Guido Weiss, Department

More information

Frames. Hongkai Xiong 熊红凯 Department of Electronic Engineering Shanghai Jiao Tong University

Frames. Hongkai Xiong 熊红凯   Department of Electronic Engineering Shanghai Jiao Tong University Frames Hongkai Xiong 熊红凯 http://ivm.sjtu.edu.cn Department of Electronic Engineering Shanghai Jiao Tong University 2/39 Frames 1 2 3 Frames and Riesz Bases Translation-Invariant Dyadic Wavelet Transform

More information

From Fourier to Wavelets in 60 Slides

From Fourier to Wavelets in 60 Slides From Fourier to Wavelets in 60 Slides Bernhard G. Bodmann Math Department, UH September 20, 2008 B. G. Bodmann (UH Math) From Fourier to Wavelets in 60 Slides September 20, 2008 1 / 62 Outline 1 From Fourier

More information

DISCRETE CDF 9/7 WAVELET TRANSFORM FOR FINITE-LENGTH SIGNALS

DISCRETE CDF 9/7 WAVELET TRANSFORM FOR FINITE-LENGTH SIGNALS DISCRETE CDF 9/7 WAVELET TRANSFORM FOR FINITE-LENGTH SIGNALS D. Černá, V. Finěk Department of Mathematics and Didactics of Mathematics, Technical University in Liberec Abstract Wavelets and a discrete

More information

Fourier-like Transforms

Fourier-like Transforms L 2 (R) Solutions of Dilation Equations and Fourier-like Transforms David Malone December 6, 2000 Abstract We state a novel construction of the Fourier transform on L 2 (R) based on translation and dilation

More information

Moment Computation in Shift Invariant Spaces. Abstract. An algorithm is given for the computation of moments of f 2 S, where S is either

Moment Computation in Shift Invariant Spaces. Abstract. An algorithm is given for the computation of moments of f 2 S, where S is either Moment Computation in Shift Invariant Spaces David A. Eubanks Patrick J.Van Fleet y Jianzhong Wang ẓ Abstract An algorithm is given for the computation of moments of f 2 S, where S is either a principal

More information

A Novel Fast Computing Method for Framelet Coefficients

A Novel Fast Computing Method for Framelet Coefficients American Journal of Applied Sciences 5 (11): 15-157, 008 ISSN 1546-939 008 Science Publications A Novel Fast Computing Method for Framelet Coefficients Hadeel N. Al-Taai Department of Electrical and Electronic

More information

290 J.M. Carnicer, J.M. Pe~na basis (u 1 ; : : : ; u n ) consisting of minimally supported elements, yet also has a basis (v 1 ; : : : ; v n ) which f

290 J.M. Carnicer, J.M. Pe~na basis (u 1 ; : : : ; u n ) consisting of minimally supported elements, yet also has a basis (v 1 ; : : : ; v n ) which f Numer. Math. 67: 289{301 (1994) Numerische Mathematik c Springer-Verlag 1994 Electronic Edition Least supported bases and local linear independence J.M. Carnicer, J.M. Pe~na? Departamento de Matematica

More information

Frames and Single Wavelets for Unitary Groups

Frames and Single Wavelets for Unitary Groups Canad. J. Math. Vol. 54 (3), 2002 pp. 634 647 Frames and Single Wavelets for Unitary Groups Eric Weber Abstract. We consider a unitary representation of a discrete countable abelian group on a separable

More information