LECTURE 15: LINEAR ARRAYS PART III

Size: px
Start display at page:

Download "LECTURE 15: LINEAR ARRAYS PART III"

Transcription

1 LECTURE 5: LINEAR ARRAYS PART III (N-element linear arrays with uniform spacing and non-uniform amplitude: Binomial array; Dolph Tschebyscheff array. Directivity and design.). Advantages of Linear Arrays with Nonuniform Amplitude Distribution The most often met BSAs, classified according to the type of their excitation amplitudes, are: a) the uniform BSA relatively high directivity, but the side-lobe levels are high; b) Dolph Tschebyscheff (or Chebyshev) BSA for a given number of elements, maximum directivity is next after that of the uniform BSA; sidelobe levels are the lowest in comparison with the other two types of arrays for a given directivity; c) binomial BSA does not have good directivity but has very low side-lobe levels (when d = λ /, there are no side lobes at all).. Array Factor of Linear Arrays with Nonuniform Amplitude Distribution Let us consider a linear array with an even number (M) of elements, located symmetrically along the z-axis, with excitation, which is also symmetrical with respect to z =. For a broadside array ( β = ), 3 M j kd cosθ j kd cosθ j kd cosθ AF e = ae + ae + + am e + 3 M j kd cosθ j kd cosθ j kd cosθ + ae + ae + + am e, M e n AF = an cos kd cosθ (5.). (5.) If the linear array consists of an odd number (M+) of elements, located symmetrically along the z-axis, the array factor is AF o = a cos cos cos + ae jkd θ + a j kd 3e θ a jmkd M e θ + + (5.3) + ae jkd cosθ + ae jkdcosθ a e jmkd cosθ, 3 M + Russian spelling is Чебышёв. Nikolova 6

2 M + n ( ). (5.4) AF o = a cos n kd cosθ EVEN- AND ODD-NUMBER ARRAYS Fig. 6.7, p. 9, Balanis Nikolova 6

3 The normalized AF derived from (5.) and (5.4) can be written in the form M AF e = a n u n cos [( ) ], for N M + AF o a n u n cos[ ( ) ], for N M = = M, (5.5) = +, (5.6) π d where u = kd cosθ = cosθ. λ Examples of AFs of arrays of nonuniform amplitude distribution a) uniform amplitude distribution (N = 5, d = λ /, max. at θ = 9 ) pp , Stutzman Nikolova 6 3

4 b) triangular (::3::) amplitude distribution (N = 5, d = λ /, max. at θ = 9 ) pp , Stutzman Nikolova 6 4

5 c) binomial (:4:6:4:) amplitude distribution (N = 5, d = λ /, max. at θ = 9 ) pp , Stutzman Nikolova 6 5

6 d) Dolph-Tschebyschev (:.6:.94:.6:) amplitude distribution (N = 5, d = λ /, max. at θ = 9 ) pp , Stutzman Nikolova 6 6

7 e) Dolph-Tschebyschev (:.4:3.4:.4:) amplitude distribution (N = 5, d = λ /, max. at θ = 9 ) pp , Stutzman Notice that as the current amplitude is tapered more gradually toward the edges of the array, the side lobes tend to decrease and the beamwidth tends to increase. Nikolova 6 7

8 3. Binomial Broadside Array The binomial BSA was investigated and proposed by J. S. Stone to synthesize patterns without side lobes. First, consider a element array (along the z-axis). z x d The elements of the array are identical and their excitations are the same. The array factor is of the form j AF = + Z, where ( kd cos Z ej ψ θ+ β = = e ). (5.7) If the spacing is d λ / and β = (broad-side maximum), the array pattern AF has no side lobes at all. This is proven as follows. AF ( cos ψ) sinψ ( cos ψ) 4cos ( ψ / ) y = + + = + = (5.8) where ψ = kd cosθ. The first null of the array factor is obtained from (5.8) as π d cos π n, n, arccos λ θ =± θ =± λ d. (5.9) As long as d < λ /, the first null does not exist. If d = λ /, then θ n, =, 8. Thus, in the visible range of θ, all secondary lobes are eliminated. Second, consider a element array whose elements are identical and the same as the array given above. The distance between the two arrays is again d. US Patents #,643,33, #,75,433. Nikolova 6 8

9 z d y This new array has an AF of the form x AF Z Z Z Z = ( + )( + ) = + +. (5.) Since ( + Z) has no side lobes, ( + Z) does not have side lobes either. Continuing the process for an N-element array produces AF Z = ( + ) N. (5.) If d λ /, the above AF does not have side lobes regardless of the number of elements N. The excitation amplitude distribution can be obtained easily by the expansion of the binome in (5.). Making use of Pascal s triangle, the relative excitation amplitudes at each element of an (N+)-element array can be determined. An array with a binomial distribution of the excitation amplitudes is called a binomial array. The excitation distribution as given by the binomial expansion gives the relative values of the amplitudes. It is immediately seen that there is too wide variation of the amplitude, which is a disadvantage of the BAs. The overall efficiency of such an antenna would be low. Besides, the BA has relatively wide beam. Its HPBW is the largest as compared to the uniform BSA or the Dolph Chebyshev array. Nikolova 6 9

10 An approximate closed-form expression for the HPBW of a BA with d = λ / is HPBW = =, (5.) N L λ L λ where L= ( N ) d is the array s length. The AFs of -element broadside binomial arrays (N = ) are given below. as The directivity of a broadside BA with spacing d = λ / can be calculated D = π cos cosθ π ( N ) D dθ, (5.3) (N ) (N 4)... =, (5.4) (N 3) (N 5)... D.77 N =.77 + L λ. (5.5) Nikolova 6

11 Fig. 6.8, p.93, Balanis Nikolova 6

12 4. Dolph Chebyshev Array (DCA) Dolph proposed (in 946) a method to design arrays with any desired sidelobe levels and any HPBWs. This method is based on the approximation of the pattern of the array by a Chebyshev polynomial of order m, high enough to meet the requirement for the side-lobe levels. A DCA with no side lobes (sidelobe level of db) reduces to the binomial design. 4.. Chebyshev polynomials The Chebyshev polynomial of order m is defined by ( ) m cosh( m arccosh z ), z, Tm ( z) = cos( m arccos( z) ), z, (5.6) cosh ( m arccosh( z) ), z. A Chebyshev polynomial T m (z) of any order m can be derived via a recursion formula, provided T m (z) and T m (z) are known: T ( z) = zt ( z) T ( z). (5.7) Explicitly, from (5.6) we see that m=, T ( z) = m=, T ( z) = z. Then, (5.7) produces: m=, T ( z) = z m= T z = z z 3, 3 3( ) 4 3 m m m m= T z = z z + 4, 4 4( ) 8 8 m= T z = z z + z 5, 5 3 5( ) 6 5, etc. If z, then the Chebyshev polynomials are related to the cosine functions, see (5.6). We can always expand the function cos(mx) as a polynomial of cos(x) of order m, e.g., for m =, cos x= cos x. (5.8) The expansion of cos(mx) can be done by observing that ( ejx ) m = ejmx and by making use of Euler s formula as Nikolova 6

13 (cos x + j sin x) m = cos( mx) + j sin( mx). (5.9) The left side of the equation is then expanded and its real and imaginary parts are equated to those on the right. Similar relations hold for the hyperbolic cosine function cosh. Comparing the trigonometric relation in (5.8) with the expression for T( z ) above (see the expanded Chebybshev polynomials after (5.7)), we see that the Chebyshev argument z is related to the cosine argument x by For example, (5.8) can be written as: z = cos x or x= arccos z. (5.) [ z ] cos(arccos z) = cos(arccos ), = =. (5.) cos(arccos z) z T ( z) Properties of the Chebyshev polynomials: ) All polynomials of any order m pass through the point (,). ) Within the range z, the polynomials have values within [,]. 3) All nulls occur within z. 4) The maxima and minima in the z [,] range have values + and, respectively. 5) The higher the order of the polynomial, the steeper the slope for z >. Nikolova 6 3

14 Fig. 6.9, pp. 96, Balanis Nikolova 6 4

15 4.. Chebyshev array design The main goal is to approximate the desired AF with a Chebyshev polynomial such that the side-lobe level meets the requirements, and the main beam width is as small as possible. An array of N elements has an AF approximated with a Chebyshev polynomial of order m, which is m= N. (5.) In general, for a given side-lobe level, the higher the order m of the polynomial, the narrower the beamwidth. However, for m >, the difference is not substantial see the slopes of Tm ( z ) in the previous figure. The AF of an N-element array (5.5) or (5.6) is shaped by a Chebyshev polynomial by requiring that T N ( z) M [ ] a cos (n ) u, M = N /, even n = M + an [ n u] M = N cos ( ), ( ) /, odd Here, u = ( πd / λ)cosθ. Let the side-lobe level be R (5.3) = Emax E = AF (voltage ratio). (5.4) sl sl Then, we require that the maximum of TN is fixed at an argument z z > ), where ( T ( z ) R max N =. (5.5) Equation (5.5) corresponds to AF( u) = AF max ( u). Obviously, z must satisfy the condition: z >, (5.6) where TN >. The maxima of TN ( z) for z are equal to unity and they correspond to the side lobes of the AF. Thus, AF( u ) has side-lobe levels equal to R. The AF is a polynomial of cosu, and the TN ( z) is a polynomial of z where z is limited to the range Nikolova 6 5

16 z z. (5.7) Since cosu, (5.8) the relation between z and cosu must be normalized as cos u = z/ z. (5.9) Design of a DCA of N elements general procedure: ) Expand the AF as given by (5.5) or (5.6) by replacing each cos( mu ) term ( m=,,..., M ) with the power series of cosu. ) Determine z such that TN ( z ) = R (voltage ratio). 3) Substitute cos u = z/ z in the AF found in step. 4) Equate the AF found in Step 3 to TN ( z) and determine the coefficients for each power of z. Example: Design a DCA (broadside) of N= elements with a major-to-minor lobe ratio of R = 6 db. Find the excitation coefficients and form the AF. Solution: The order of the Chebyshev polynomial is m= N = 9. The AF for an evennumber array is: 5 π d AF M = a n u u = λ ncos [( ) ], cosθ, 5 M =. Step : Write AF explicitly: AF = a cosu+ a cos3u+ a cos5u+ a cos 7u+ a cos9u Expand the cos( mu ) terms as powers of cosu : cos3u= 4cos 3 u 3cosu, cos5u = 6cos 5 u cos 3 u + 5cosu, cos7u= 64cos7 u cos5 u + 56cos3 u 7cosu, cos9u = 56cos9 u 576cos 7 u + 43cos5 u cos 3 u + 9cosu. Nikolova 6 6

17 Note that the above expansions can be readily obtained from the recursive Chebyshev relation (5.7), z z, and the substitution z = cosu. For example, translates into m= T z = z z 3, 3 3( ) cos(3 ) 4cos 3cos u = u u. Step : Determine z : 6 R = 6 db R = T9( z) =, cosh[ 9arccosh( z ) ] =, 9arccosh( z ) = arccosh = 3.69, arccosh( z ) =.4, z = cosh.4 z =.855. Step 3: Express the AF from Step in terms of cos u = z/ z and make equal to the Chebyshev polynomial: z AF = ( a 3a + 5a3 7a4 + 9a5 ) z z3 + ( 4a a3+ 56a4 a5) z3 z5 + ( 6a3 a4+ 43a5) z5 z7 + ( 64a4 576a5) z7 z9 + ( 56a5 ) = z9 =9z z3 + 43z5 576z7 + 56z9 T ( z) 9 Nikolova 6 7

18 Step 4: Find the coefficients by matching the power terms: 56a 9 5 = 56z a5 =.86 64a 576a = 576z7 a = a3 a4 + a5 = z5 a3 = a a3 a4 a5 z7 a = 9 = = = 5.73 a 3a 5a 7a 9a 9z a Normalize coefficients with respect to edge element (N=5): a = ; a =.357; a =.974; a =.496; a = AF =.789cos( u) +.496cos(3 u) +.974cos(5 u) cos(7 u) + cos(9 u) where π d u = cosθ. λ Fig. 6.b, p. 98, Balanis Nikolova 6 8

19 Fig. 6., p. 3, Balanis Nikolova 6 9

20 4.3. Maximum affordable d for Dolph-Chebyshev arrays This restriction arises from the requirement for a single major lobe see also equation (5.7), z z : π d z, cos u = z/ z, u = cosθ, λ π d z = z cos cosθ. (5.3) λ For a given array, when θ varies from to 8, the argument z assumes values π d from z( θ = ) = z cos (5.3) λ through z( θ = 9 ) = z (5.3) d to z( 8 ) z cos π θ= = = z( θ= ). (5.33) λ The extreme value of z to the left on the abscissa corresponds to the end-fire directions of the AF. This value must not go beyond z =. Otherwise, endfire lobes of levels higher than (higher than R ) will appear. Therefore, the inequality (5.3) must hold for θ = or 8 : Let z πd πd cos cos. (5.34) λ λ z ( ) γ = arccos z. (5.35) Remember that z > ; thus γ is a real-valued angle. Then, or π d < π γ = π arccos λ z π dmax d ( z ) λ λ π max = π arccos = arccos z γ (5.36) (5.37) Nikolova 6

21 π d max λ cosγ γ z cos( πd / λ) ILLUSTRATION OF EQUATION (5.34) AND THE REQUIREMENT IN (5.36) For the case of the previous example, d < arccos = =.873, λ π.855 π dmax =.873λ. 5. Directivity of Non-uniform Arrays It is difficult to derive closed form expressions for the directivity of nonuniform arrays. Here, we derive expressions in the form of series in the most general case of a linear array when the excitation coefficients are known. The non-normalized array factor is where N = jβn jkzncosθ n, (5.38) AF a e e a n is the amplitude of the excitation of the n-th element; β n is the phase angle of the excitation of the n-th element; z is the z-coordinate of the n-th element. n The maximum AF is Nikolova 6

22 The normalized AF is AF n AF max max AF = = AF N = a. (5.39) N The beam solid angle of a linear array is where From π we obtain Ω = π ae n ( ) n jβ n N e a n jkz n cosθ Ω = π AF θ sinθdθ, A N N A m p N m= p= an ( sin kz ( ) )cos m z jk z p m z p θ e sinθdθ =. kz ( z) π n π. (5.4) j( βm βp) jk ( zm z p)cosθ aae e sinθdθ, (5.4) m p N N 4π ( ) sin kz ( m z) j βm β p p Ω A = aae m p. (5.4) N m= p= kz ( m zp) an D = 4 π / Ω A, D = N N m= p= N an. (5.43) ( ) sin kz ( m zp) j βm β p aae m p kz ( z) m p Nikolova 6

23 For equispaced linear ( z n D = N N m= p= = nd ) arrays, (5.43) reduces to aae m p j N a n ( β ) sin [( m p) kd ] m β p ( m p) kd. (5.44) For equispaced broadside arrays, where βm = βp for any (m,p), (5.44) reduces to D = N N m= p= a a m N p an sin ( ) ( m p) kd For equispaced broadside uniform arrays, D = N N m= p= N sin ( ) [ m p kd ] [ m p kd ] ( m p) kd. (5.45). (5.46) When the spacing d is a multiple of λ /, equation (5.45) reduces to D N N an λ =, d =, λ,... (5.47) ( a ) n Example: Calculate the directivity of the Dolph Chebyshev array designed in the previous example if d = λ /. The -element DCA has the following amplitude distribution: a = ; a =.357; a =.974; a =.496; a = Nikolova 6 3

24 We make use of (5.47): D an ( 9.65) = = = 8.99 (9.5 db)..797 ( a ) Output from ARRAYS.m: D = n 6. Half-power Beamwidth of a BS DCA For large DCAs with side lobes in the range from db to 6 db, the HPBW HPBW DCA can be found from the HPBW of a uniform array HPBW UA by introducing a beam-broadening factor f given by so that f R π R, (5.48) = cosh (arccosh ) HPBW = f HPBW. (5.49) DCA In (5.48), R denotes the side-lobe level (the voltage ratio). UA Nikolova 6 4

Array Antennas. Chapter 6

Array Antennas. Chapter 6 Chapter 6 Array Antennas An array antenna is a group of antenna elements with excitations coordinated in some way to achieve desired properties for the combined radiation pattern. When designing an array

More information

RADIATING ELEMENTS MAY BE: DIPOLES, SLOTS, POLYRODS, LOOPS, HORNS, HELIX, SPIRALS, LOG PERIODIC STRUCTURES AND EVEN DISHES Dipoles simple structures,

RADIATING ELEMENTS MAY BE: DIPOLES, SLOTS, POLYRODS, LOOPS, HORNS, HELIX, SPIRALS, LOG PERIODIC STRUCTURES AND EVEN DISHES Dipoles simple structures, ANTENNA ARRAYS Array - collection of radiating elements An array may be: 1D (linear), 2D (planar), 3D (frequency selective) structure of radiating elements Purpose More directivity, Steereable beams Radiation

More information

While the poor efficiency of the small antennas discussed in the last unit limits their

While the poor efficiency of the small antennas discussed in the last unit limits their Unit 3 Linear Wire Antennas and Antenna Arrays While the poor efficiency of the small antennas discussed in the last unit limits their practicality, the ideas encountered in analyzing them are very useful

More information

ECE 5318/6352 Antenna Engineering. Spring 2006 Dr. Stuart Long. Chapter 6. Part 7 Schelkunoff s Polynomial

ECE 5318/6352 Antenna Engineering. Spring 2006 Dr. Stuart Long. Chapter 6. Part 7 Schelkunoff s Polynomial ECE 538/635 Antenna Engineering Spring 006 Dr. Stuart Lng Chapter 6 Part 7 Schelkunff s Plynmial 7 Schelkunff s Plynmial Representatin (fr discrete arrays) AF( ψ ) N n 0 A n e jnψ N number f elements in

More information

Arrays. Ranga Rodrigo. August 19, 2010

Arrays. Ranga Rodrigo. August 19, 2010 Arrays Ranga Rodrigo August 9, 00 Lecture notes are fully based on Balanis [?. Some diagrams and text are directly from the books. Contents Two-Element Array -Element Linear Array: Uniform Amplitude and

More information

LECTURE 18: Horn Antennas (Rectangular horn antennas. Circular apertures.) Equation Section 18

LECTURE 18: Horn Antennas (Rectangular horn antennas. Circular apertures.) Equation Section 18 LCTUR 18: Horn Antennas (Rectangular horn antennas. Circular apertures.) quation Section 18 1 Rectangular horn antennas Horn antennas are popular in the microwave band (above 1 GHz). Horns provide high

More information

Module 7 : Antenna. Lecture 52 : Array Synthesis. Objectives. In this course you will learn the following. Array specified by only its nulls.

Module 7 : Antenna. Lecture 52 : Array Synthesis. Objectives. In this course you will learn the following. Array specified by only its nulls. Objectives In this course you will learn the following Array specified by only its nulls. Radiation pattern of a general array. Array synthesis. Criterion for choosing number of elements in synthesized

More information

The below identified patent application is available for licensing. Requests for information should be addressed to:

The below identified patent application is available for licensing. Requests for information should be addressed to: DEPARTMENT OF THE NAVY OFFICE OF COUNSEL NAVAL UNDERSEA WARFARE CENTER DIVISION 1176 HOWELL STREET NEWPORT Rl 02841-1708 IN REPLY REFER TO 31 October 2018 The below identified patent application is available

More information

LECTURE 18: Horn Antennas (Rectangular horn antennas. Circular apertures.)

LECTURE 18: Horn Antennas (Rectangular horn antennas. Circular apertures.) LCTUR 18: Horn Antennas (Rectangular horn antennas. Circular apertures.) 1 Rectangular Horn Antennas Horn antennas are popular in the microwave bands (above 1 GHz). Horns provide high gain, low VSWR (with

More information

ECE Spring Prof. David R. Jackson ECE Dept. Notes 6

ECE Spring Prof. David R. Jackson ECE Dept. Notes 6 ECE 6341 Spring 2016 Prof. David R. Jackson ECE Dept. Notes 6 1 Leaky Modes v TM 1 Mode SW 1 v= utan u ε R 2 R kh 0 n1 r = ( ) 1 u Splitting point ISW f = f s f > f s We will examine the solutions as the

More information

Arrays: Linear, Planar, and Circular

Arrays: Linear, Planar, and Circular CHAPTER6 Arrays: Linear, Planar, and Circular 6.1 ITRODUCTIO In the previous chapter, the radiation characteristics of single-element antennas were discussed and analyzed. Usually the radiation pattern

More information

FLEXIBLE ARRAY BEAMPATTERN SYNTHESIS USING HYPERGEOMETRIC FUNCTIONS

FLEXIBLE ARRAY BEAMPATTERN SYNTHESIS USING HYPERGEOMETRIC FUNCTIONS Progress In Electromagnetics Research M, Vol. 18, 1 15, 2011 FLEXIBLE ARRAY BEAMPATTERN SYNTHESIS USING HYPERGEOMETRIC FUNCTIONS L. Tu and B. P. Ng Nanyang Technological University 50 Nanyang Ave., Singapore

More information

Antenna Synthesis and Continuous Sources

Antenna Synthesis and Continuous Sources CHAPTER7 Antenna Synthesis and Continuous Sources 7.1 INTRODUCTION Thus far in the book we have concentrated primarily on the analysis and design of antennas. In the analysis problem an antenna model is

More information

Algebra 2 Khan Academy Video Correlations By SpringBoard Activity

Algebra 2 Khan Academy Video Correlations By SpringBoard Activity SB Activity Activity 1 Creating Equations 1-1 Learning Targets: Create an equation in one variable from a real-world context. Solve an equation in one variable. 1-2 Learning Targets: Create equations in

More information

Algebra 2 Khan Academy Video Correlations By SpringBoard Activity

Algebra 2 Khan Academy Video Correlations By SpringBoard Activity SB Activity Activity 1 Creating Equations 1-1 Learning Targets: Create an equation in one variable from a real-world context. Solve an equation in one variable. 1-2 Learning Targets: Create equations in

More information

The Selection of Weighting Functions For Linear Arrays Using Different Techniques

The Selection of Weighting Functions For Linear Arrays Using Different Techniques The Selection of Weighting Functions For Linear Arrays Using Different Techniques Dr. S. Ravishankar H. V. Kumaraswamy B. D. Satish 17 Apr 2007 Rajarshi Shahu College of Engineering National Conference

More information

Chapter 4 Layered Substrates 4.1 Introduction

Chapter 4 Layered Substrates 4.1 Introduction Chapter 4 Layered Substrates 4.1 Introduction The significant result of the previous chapter is that guided mode (surface wave) losses can be avoided on substrates with thicknesses of an odd integral multiple

More information

cos kd kd 2 cosθ = π 2 ± nπ d λ cosθ = 1 2 ± n N db

cos kd kd 2 cosθ = π 2 ± nπ d λ cosθ = 1 2 ± n N db . (Balanis 6.43) You can confim tat AF = e j kd cosθ + e j kd cosθ N = cos kd cosθ gives te same esult as (6-59) and (6-6), fo a binomial aay wit te coefficients cosen as in section 6.8.. Tis single expession

More information

MATHEMATICS LEARNING AREA. Methods Units 1 and 2 Course Outline. Week Content Sadler Reference Trigonometry

MATHEMATICS LEARNING AREA. Methods Units 1 and 2 Course Outline. Week Content Sadler Reference Trigonometry MATHEMATICS LEARNING AREA Methods Units 1 and 2 Course Outline Text: Sadler Methods and 2 Week Content Sadler Reference Trigonometry Cosine and Sine rules Week 1 Trigonometry Week 2 Radian Measure Radian

More information

Course 2BA1: Hilary Term 2006 Section 7: Trigonometric and Exponential Functions

Course 2BA1: Hilary Term 2006 Section 7: Trigonometric and Exponential Functions Course 2BA1: Hilary Term 2006 Section 7: Trigonometric and Exponential Functions David R. Wilkins Copyright c David R. Wilkins 2005 Contents 7 Trigonometric and Exponential Functions 1 7.1 Basic Trigonometric

More information

Chapter 9: Complex Numbers

Chapter 9: Complex Numbers Chapter 9: Comple Numbers 9.1 Imaginary Number 9. Comple Number - definition - argand diagram - equality of comple number 9.3 Algebraic operations on comple number - addition and subtraction - multiplication

More information

SET 1. (1) Solve for x: (a) e 2x = 5 3x

SET 1. (1) Solve for x: (a) e 2x = 5 3x () Solve for x: (a) e x = 5 3x SET We take natural log on both sides: ln(e x ) = ln(5 3x ) x = 3 x ln(5) Now we take log base on both sides: log ( x ) = log (3 x ln 5) x = log (3 x ) + log (ln(5)) x x

More information

PURE MATHEMATICS AM 27

PURE MATHEMATICS AM 27 AM Syllabus (014): Pure Mathematics AM SYLLABUS (014) PURE MATHEMATICS AM 7 SYLLABUS 1 AM Syllabus (014): Pure Mathematics Pure Mathematics AM 7 Syllabus (Available in September) Paper I(3hrs)+Paper II(3hrs)

More information

Course outline Mathematics: Methods ATAR Year 11

Course outline Mathematics: Methods ATAR Year 11 Course outline Mathematics: Methods ATAR Year 11 Unit 1 Sequential In Unit 1 students will be provided with opportunities to: underst the concepts techniques in algebra, functions, graphs, trigonometric

More information

Aperture Antennas 1 Introduction

Aperture Antennas 1 Introduction 1 Introduction Very often, we have antennas in aperture forms, for example, the antennas shown below: Pyramidal horn antenna Conical horn antenna 1 Paraboloidal antenna Slot antenna Analysis Method for.1

More information

Intermediate Level Learning Targets

Intermediate Level Learning Targets Learning Target #1: Develop proficiency in analyzing, graphing and solving linear equations and inequalities. F1.1,,, B1. C1. 1.1 Students will be able to identify different types of relations and functions.

More information

Pre-Calculus and Trigonometry Capacity Matrix

Pre-Calculus and Trigonometry Capacity Matrix Review Polynomials A1.1.4 A1.2.5 Add, subtract, multiply and simplify polynomials and rational expressions Solve polynomial equations and equations involving rational expressions Review Chapter 1 and their

More information

Week 10 Lecture 3: Multiple source interference Problems F2003Q4c, 66, 67 (courseware 96-99)

Week 10 Lecture 3: Multiple source interference Problems F2003Q4c, 66, 67 (courseware 96-99) Week 10 Lecture 3: Multiple source interference Problems F003Q4c, 66, 67 (courseware 96-99) f we can add waves we can add more! Fortunately this is only of practical interest for waves with equal ω, A

More information

Array Design Methods Array Design Methods. =± m d, m = 1, 2,...,M 2. [a m e j(m 1/2)ψ + a m e j(m 1/2)ψ] [a m z m 1/2 + a m z (m 1/2)]

Array Design Methods Array Design Methods. =± m d, m = 1, 2,...,M 2. [a m e j(m 1/2)ψ + a m e j(m 1/2)ψ] [a m z m 1/2 + a m z (m 1/2)] 110 3. Array Design Methods 3 Array Design Methods where ψ = k x d = kd cos and z = e jψ. On the other hand, if is even, say = M, in order to have symmetry with respect to the origin, we must place the

More information

Core A-level mathematics reproduced from the QCA s Subject criteria for Mathematics document

Core A-level mathematics reproduced from the QCA s Subject criteria for Mathematics document Core A-level mathematics reproduced from the QCA s Subject criteria for Mathematics document Background knowledge: (a) The arithmetic of integers (including HCFs and LCMs), of fractions, and of real numbers.

More information

ADAPTIVE ANTENNAS. SPATIAL BF

ADAPTIVE ANTENNAS. SPATIAL BF ADAPTIVE ANTENNAS SPATIAL BF 1 1-Spatial reference BF -Spatial reference beamforming may not use of embedded training sequences. Instead, the directions of arrival (DoA) of the impinging waves are used

More information

Math Curriculum Map: Integrated Algebra II Unit: 1 Quarter: Time Frame: Review of Algebra 13 days Essential Questions: Key Concepts: Key Vocabulary:

Math Curriculum Map: Integrated Algebra II Unit: 1 Quarter: Time Frame: Review of Algebra 13 days Essential Questions: Key Concepts: Key Vocabulary: Math Curriculum Map: Integrated Algebra II Unit: 1 Quarter: Time Frame: Review of Algebra 1 13 days Essential Questions: How does the order of operations help solve one- and two- step equations? How is

More information

DIRECTIVITY OPTIMIZATION IN PLANAR SUB-ARRAYED MONOPULSE ANTENNA

DIRECTIVITY OPTIMIZATION IN PLANAR SUB-ARRAYED MONOPULSE ANTENNA Progress In Electromagnetics Research Letters, Vol. 4, 1 7, 2008 DIRECTIVITY OPTIMIZATION IN PLANAR SUB-ARRAYED MONOPULSE ANTENNA P. Rocca, L. Manica, and A. Massa ELEDIA Department of Information Engineering

More information

West Windsor-Plainsboro Regional School District Algebra and Trigonometry Grades 11-12

West Windsor-Plainsboro Regional School District Algebra and Trigonometry Grades 11-12 West Windsor-Plainsboro Regional School District Algebra and Trigonometry Grades 11-12 Unit 1: Linear Relationships & Functions Content Area: Mathematics Course & Grade Level: Algebra & Trigonometry, 11

More information

1 (2n)! (-1)n (θ) 2n

1 (2n)! (-1)n (θ) 2n Complex Numbers and Algebra The real numbers are complete for the operations addition, subtraction, multiplication, and division, or more suggestively, for the operations of addition and multiplication

More information

where * = 2n -sin 8. ug = cosh (& In [q +..-=i]) If we define w by the following expression, w E exp (j+)

where * = 2n -sin 8. ug = cosh (& In [q +..-=i]) If we define w by the following expression, w E exp (j+) IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. AP32, NO. 10, OCTOBER 1984 Taylor Patterns for Discrete Arrays 1089 ALFRED T. VILLENEUVE, SENIORMEMBER,IEEE AbstractThe equivalent of a Taylor pattern

More information

Algebra II Learning Targets

Algebra II Learning Targets Chapter 0 Preparing for Advanced Algebra LT 0.1 Representing Functions Identify the domain and range of functions LT 0.2 FOIL Use the FOIL method to multiply binomials LT 0.3 Factoring Polynomials Use

More information

Solution Sheet 1.4 Questions 26-31

Solution Sheet 1.4 Questions 26-31 Solution Sheet 1.4 Questions 26-31 26. Using the Limit Rules evaluate i) ii) iii) 3 2 +4+1 0 2 +4+3, 3 2 +4+1 2 +4+3, 3 2 +4+1 1 2 +4+3. Note When using a Limit Rule you must write down which Rule you

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condensed Matter Physics Diffraction I Basic Physics M.P. Vaughan Diffraction Electromagnetic waves Geometric wavefront The Principle of Linear Superposition Diffraction regimes Single

More information

Damped Oscillators (revisited)

Damped Oscillators (revisited) Damped Oscillators (revisited) We saw that damped oscillators can be modeled using a recursive filter with two coefficients and no feedforward components: Y(k) = - a(1)*y(k-1) - a(2)*y(k-2) We derived

More information

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1.

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1. MTH4101 CALCULUS II REVISION NOTES 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) 1.1 Introduction Types of numbers (natural, integers, rationals, reals) The need to solve quadratic equations:

More information

In this chapter we study several functions that are useful in calculus and other areas of mathematics.

In this chapter we study several functions that are useful in calculus and other areas of mathematics. Calculus 5 7 Special functions In this chapter we study several functions that are useful in calculus and other areas of mathematics. 7. Hyperbolic trigonometric functions The functions we study in this

More information

Rearrangement on Conditionally Convergent Integrals in Analogy to Series

Rearrangement on Conditionally Convergent Integrals in Analogy to Series Electronic Proceedings of Undergraduate Mathematics Day, Vol. 3 (8), No. 6 Rearrangement on Conditionally Convergent Integrals in Analogy to Series Edward J Timko University of Dayton Dayton OH 45469-36

More information

Summary: Primer on Integral Calculus:

Summary: Primer on Integral Calculus: Physics 2460 Electricity and Magnetism I, Fall 2006, Primer on Integration: Part I 1 Summary: Primer on Integral Calculus: Part I 1. Integrating over a single variable: Area under a curve Properties of

More information

School District of Marshfield Course Syllabus

School District of Marshfield Course Syllabus School District of Marshfield Course Syllabus Course Name: Algebra II Length of Course: 1 Year Credit: 1 Program Goal: The School District of Marshfield Mathematics Program will prepare students for college

More information

Antenna Engineering Lecture 8: Antenna Arrays

Antenna Engineering Lecture 8: Antenna Arrays Atea Egieerig Lecture 8: Atea Arrays ELCN45 Sprig 211 Commuicatios ad Computer Egieerig Program Faculty of Egieerig Cairo Uiversity 2 Outlie 1 Array of Isotropic Radiators Array Cofiguratios The Space

More information

Written Examination. Antennas and Propagation (AA ) June 22, 2018.

Written Examination. Antennas and Propagation (AA ) June 22, 2018. Written Examination Antennas and Propagation (AA. 7-8 June, 8. Problem ( points A circular loop of radius a = cm is positioned at a height h over a perfectly electric conductive ground plane as in figure,

More information

EXAMINATION: MATHEMATICAL TECHNIQUES FOR IMAGE ANALYSIS

EXAMINATION: MATHEMATICAL TECHNIQUES FOR IMAGE ANALYSIS EXAMINATION: MATHEMATICAL TECHNIQUES FOR IMAGE ANALYSIS Course code: 8D Date: Thursday April 8 th, Time: 4h 7h Place: AUD 3 Read this first! Write your name and student identification number on each paper

More information

Linear Wire Antennas. EE-4382/ Antenna Engineering

Linear Wire Antennas. EE-4382/ Antenna Engineering EE-4382/5306 - Antenna Engineering Outline Introduction Infinitesimal Dipole Small Dipole Finite Length Dipole Half-Wave Dipole Ground Effect Constantine A. Balanis, Antenna Theory: Analysis and Design

More information

Mathematics High School Functions

Mathematics High School Functions Mathematics High School Functions Functions describe situations where one quantity determines another. For example, the return on $10,000 invested at an annualized percentage rate of 4.25% is a function

More information

EE 508 Lecture 11. The Approximation Problem. Classical Approximations the Chebyschev and Elliptic Approximations

EE 508 Lecture 11. The Approximation Problem. Classical Approximations the Chebyschev and Elliptic Approximations EE 508 Lecture The Approximation Problem Classical Approximations the Chebyschev and Elliptic Approximations Review from Last Time Butterworth Approximations Analytical formulation: All pole approximation

More information

Lecture 38: Equations of Rigid-Body Motion

Lecture 38: Equations of Rigid-Body Motion Lecture 38: Equations of Rigid-Body Motion It s going to be easiest to find the equations of motion for the object in the body frame i.e., the frame where the axes are principal axes In general, we can

More information

Filters and Tuned Amplifiers

Filters and Tuned Amplifiers Filters and Tuned Amplifiers Essential building block in many systems, particularly in communication and instrumentation systems Typically implemented in one of three technologies: passive LC filters,

More information

(Refer Slide Time: 02:11 to 04:19)

(Refer Slide Time: 02:11 to 04:19) Digital Signal Processing Prof. S. C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture - 24 Analog Chebyshev LPF Design This is the 24 th lecture on DSP and

More information

6.1 The Inverse Sine, Cosine, and Tangent Functions Objectives

6.1 The Inverse Sine, Cosine, and Tangent Functions Objectives Objectives 1. Find the Exact Value of an Inverse Sine, Cosine, or Tangent Function. 2. Find an Approximate Value of an Inverse Sine Function. 3. Use Properties of Inverse Functions to Find Exact Values

More information

Definition 1.1 Let a and b be numbers, a smaller than b. Then the set of all numbers between a and b :

Definition 1.1 Let a and b be numbers, a smaller than b. Then the set of all numbers between a and b : 1 Week 1 Definition 1.1 Let a and b be numbers, a smaller than b. Then the set of all numbers between a and b : a and b included is denoted [a, b] a included, b excluded is denoted [a, b) a excluded, b

More information

DRAFT. Pre-calculus Curriculum Map Quarter 1 Chapters P 2. Extraneous Critical numbers Test intervals

DRAFT. Pre-calculus Curriculum Map Quarter 1 Chapters P 2. Extraneous Critical numbers Test intervals Quarter 1 Chapters P 2 Plot points in the coordinate plane and use distance and midpoint formulas. Sketch graphs of equations. Find and use slope of a line to write and graph linear equations. Solve equations:

More information

Winter 2014 Practice Final 3/21/14 Student ID

Winter 2014 Practice Final 3/21/14 Student ID Math 4C Winter 2014 Practice Final 3/21/14 Name (Print): Student ID This exam contains 5 pages (including this cover page) and 20 problems. Check to see if any pages are missing. Enter all requested information

More information

Name: Lab: M8 M2 W8 Th8 Th11 Th2 F8. cos( θ) = cos(θ) sin( θ) = sin(θ) sin(θ) = cos. θ (radians) θ (degrees) cos θ sin θ π/6 30

Name: Lab: M8 M2 W8 Th8 Th11 Th2 F8. cos( θ) = cos(θ) sin( θ) = sin(θ) sin(θ) = cos. θ (radians) θ (degrees) cos θ sin θ π/6 30 Name: Lab: M8 M2 W8 Th8 Th11 Th2 F8 Trigonometric Identities cos(θ) = cos(θ) sin(θ) = sin(θ) sin(θ) = cos Cosines and Sines of common angles Euler s Formula θ (radians) θ (degrees) cos θ sin θ 0 0 1 0

More information

Mathematics for Chemists 2 Lecture 14: Fourier analysis. Fourier series, Fourier transform, DFT/FFT

Mathematics for Chemists 2 Lecture 14: Fourier analysis. Fourier series, Fourier transform, DFT/FFT Mathematics for Chemists 2 Lecture 14: Fourier analysis Fourier series, Fourier transform, DFT/FFT Johannes Kepler University Summer semester 2012 Lecturer: David Sevilla Fourier analysis 1/25 Remembering

More information

Name (print): Lab (circle): W8 Th8 Th11 Th2 F8. θ (radians) θ (degrees) cos θ sin θ π/ /2 1/2 π/4 45 2/2 2/2 π/3 60 1/2 3/2 π/

Name (print): Lab (circle): W8 Th8 Th11 Th2 F8. θ (radians) θ (degrees) cos θ sin θ π/ /2 1/2 π/4 45 2/2 2/2 π/3 60 1/2 3/2 π/ Name (print): Lab (circle): W8 Th8 Th11 Th2 F8 Trigonometric Identities ( cos(θ) = cos(θ) sin(θ) = sin(θ) sin(θ) = cos θ π ) 2 Cosines and Sines of common angles Euler s Formula θ (radians) θ (degrees)

More information

1 Chapter 2 Perform arithmetic operations with polynomial expressions containing rational coefficients 2-2, 2-3, 2-4

1 Chapter 2 Perform arithmetic operations with polynomial expressions containing rational coefficients 2-2, 2-3, 2-4 NYS Performance Indicators Chapter Learning Objectives Text Sections Days A.N. Perform arithmetic operations with polynomial expressions containing rational coefficients. -, -5 A.A. Solve absolute value

More information

A Note on Super-Gain Antenna Arrays*

A Note on Super-Gain Antenna Arrays* 1951 PROCEEDINGS OF THE I.R.E. 1081 is J (k sin-) sin(k sin-) - + 3iM a a k sin- ksin 3ri a / a +-- sin3-j1 (k sin ) 4 \ / 3i a a - - AM sin3 sin Ik sin \ - Combine the first and fifth terms; their absolute

More information

Tennessee s State Mathematics Standards Precalculus

Tennessee s State Mathematics Standards Precalculus Tennessee s State Mathematics Standards Precalculus Domain Cluster Standard Number Expressions (N-NE) Represent, interpret, compare, and simplify number expressions 1. Use the laws of exponents and logarithms

More information

(e) (i) Prove that C(x) = C( x) for all x. (2)

(e) (i) Prove that C(x) = C( x) for all x. (2) Revision - chapters and 3 part two. (a) Sketch the graph of f (x) = sin 3x + sin 6x, 0 x. Write down the exact period of the function f. (Total 3 marks). (a) Sketch the graph of the function C ( x) cos

More information

SAMPLE COURSE OUTLINE MATHEMATICS METHODS ATAR YEAR 11

SAMPLE COURSE OUTLINE MATHEMATICS METHODS ATAR YEAR 11 SAMPLE COURSE OUTLINE MATHEMATICS METHODS ATAR YEAR 11 Copyright School Curriculum and Standards Authority, 2017 This document apart from any third party copyright material contained in it may be freely

More information

CURRICULUM GUIDE. Honors Algebra II / Trigonometry

CURRICULUM GUIDE. Honors Algebra II / Trigonometry CURRICULUM GUIDE Honors Algebra II / Trigonometry The Honors course is fast-paced, incorporating the topics of Algebra II/ Trigonometry plus some topics of the pre-calculus course. More emphasis is placed

More information

NYS Algebra II and Trigonometry Suggested Sequence of Units (P.I's within each unit are NOT in any suggested order)

NYS Algebra II and Trigonometry Suggested Sequence of Units (P.I's within each unit are NOT in any suggested order) 1 of 6 UNIT P.I. 1 - INTEGERS 1 A2.A.1 Solve absolute value equations and inequalities involving linear expressions in one variable 1 A2.A.4 * Solve quadratic inequalities in one and two variables, algebraically

More information

PERFORMANCE IMPROVEMENT IN AMPLITUDE SYNTHESIS OF UNEQUALLY SPACED ARRAY USING LEAST MEAN SQUARE METHOD

PERFORMANCE IMPROVEMENT IN AMPLITUDE SYNTHESIS OF UNEQUALLY SPACED ARRAY USING LEAST MEAN SQUARE METHOD Progress In Electromagnetics Research B, Vol. 1, 135 145, 2008 PERFORMANCE IMPROVEMENT IN AMPLITUDE SYNTHESIS OF UNEQUALLY SPACED ARRAY USING LEAST MEAN SQUARE METHOD S. Kazemi and H. R. Hassani Electrical

More information

Outline schemes of work A-level Mathematics 6360

Outline schemes of work A-level Mathematics 6360 Outline schemes of work A-level Mathematics 6360 Version.0, Autumn 013 Introduction These outline schemes of work are intended to help teachers plan and implement the teaching of the AQA A-level Mathematics

More information

NFC ACADEMY COURSE OVERVIEW

NFC ACADEMY COURSE OVERVIEW NFC ACADEMY COURSE OVERVIEW Pre-calculus is a full-year, high school credit course that is intended for the student who has successfully mastered the core algebraic and conceptual geometric concepts covered

More information

Chapter 10: Sinusoidal Steady-State Analysis

Chapter 10: Sinusoidal Steady-State Analysis Chapter 10: Sinusoidal Steady-State Analysis 1 Objectives : sinusoidal functions Impedance use phasors to determine the forced response of a circuit subjected to sinusoidal excitation Apply techniques

More information

THE SYNTHESIS OF COMPLEX-ANGLE ZEROS FOR ON-BOARD ANTENNA ARRAYS

THE SYNTHESIS OF COMPLEX-ANGLE ZEROS FOR ON-BOARD ANTENNA ARRAYS Progress In Electromagnetics Research, PIER 80, 369 380, 2008 THE SYNTHESIS OF COMPLEX-ANGLE ZEROS FOR ON-BOARD ANTENNA ARRAYS G. Gajardo-Silva and L. Landesa Department of Computer and Communication Sciences

More information

Alg II Syllabus (First Semester)

Alg II Syllabus (First Semester) Alg II Syllabus (First Semester) Unit 1: Solving linear equations and inequalities Lesson 01: Solving linear equations Lesson 02: Solving linear inequalities (See Calculator Appendix A and associated video.)

More information

3 Inequalities Absolute Values Inequalities and Intervals... 5

3 Inequalities Absolute Values Inequalities and Intervals... 5 Contents 1 Real Numbers, Exponents, and Radicals 3 1.1 Rationalizing the Denominator................................... 3 1.2 Factoring Polynomials........................................ 3 1.3 Algebraic

More information

PROBABILISTIC APPROACH TO DESIGN OF LARGE ANTENNA ARRAYS. Blagovest Shishkov, Hiroshi Matsumoto, Naoki Shinohara

PROBABILISTIC APPROACH TO DESIGN OF LARGE ANTENNA ARRAYS. Blagovest Shishkov, Hiroshi Matsumoto, Naoki Shinohara Pliska Stud. Math. Bulgar. 17 (2005), 249 269 STUDIA MATHEMATICA BULGARICA PROBABILISTIC APPROACH TO DESIGN OF LARGE ANTENNA ARRAYS Blagovest Shishkov, Hiroshi Matsumoto, Naoki Shinohara Recent advances

More information

Pre-Calculus and Trigonometry Capacity Matrix

Pre-Calculus and Trigonometry Capacity Matrix Pre-Calculus and Capacity Matri Review Polynomials A1.1.4 A1.2.5 Add, subtract, multiply and simplify polynomials and rational epressions Solve polynomial equations and equations involving rational epressions

More information

Utah Secondary Mathematics Core Curriculum Precalculus

Utah Secondary Mathematics Core Curriculum Precalculus A Correlation of Trigonometry Lial To the Utah Secondary Mathematics Core Curriculum Precalculus Resource Title: Trigonometry Publisher: Pearson Education Inc Publishing as Prentice Hall ISBN (10 or 13

More information

Synthesis of nonuniformly spaced antenna arrays

Synthesis of nonuniformly spaced antenna arrays Retrospective Theses and Dissertations 1967 Synthesis of nonuniformly spaced antenna arrays John Philip Basart Iowa State University Follow this and additional works at: http://lib.dr.iastate.edu/rtd Part

More information

Considering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial.

Considering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial. Lecture 3 Usual complex functions MATH-GA 245.00 Complex Variables Polynomials. Construction f : z z is analytic on all of C since its real and imaginary parts satisfy the Cauchy-Riemann relations and

More information

Lecture 38: Equations of Rigid-Body Motion

Lecture 38: Equations of Rigid-Body Motion Lecture 38: Equations of Rigid-Body Motion It s going to be easiest to find the equations of motion for the object in the body frame i.e., the frame where the axes are principal axes In general, we can

More information

Relations and Functions (for Math 026 review)

Relations and Functions (for Math 026 review) Section 3.1 Relations and Functions (for Math 026 review) Objective 1: Understanding the s of Relations and Functions Relation A relation is a correspondence between two sets A and B such that each element

More information

Index. Excerpt from "Precalculus" 2014 AoPS Inc. Copyrighted Material INDEX

Index. Excerpt from Precalculus 2014 AoPS Inc.   Copyrighted Material INDEX Index, 29 \, 6, 29 \, 6 [, 5 1, 2!, 29?, 309, 179, 179, 29 30-60-90 triangle, 32 45-45-90 triangle, 32 Agnesi, Maria Gaetana, 191 Airy, Sir George, 180 AMC, vii American Mathematics Competitions, see AMC

More information

( ) is called the dependent variable because its

( ) is called the dependent variable because its page 1 of 16 CLASS NOTES: 3 8 thru 4 3 and 11 7 Functions, Exponents and Polynomials 3 8: Function Notation A function is a correspondence between two sets, the domain (x) and the range (y). An example

More information

Algebra 2 Honors Final Exam StudyGuide

Algebra 2 Honors Final Exam StudyGuide Name: Algebra 2 Honors Final Exam StudyGuide Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Simplify. 2. 3. 4. Asume that all absolute value symbols are

More information

CHAPTER XV. Exponential algebra

CHAPTER XV. Exponential algebra CHAPTER XV Exponential algebra 15.1. Introduction. We develop some elementary features of the intricate and hyperintricate exponential algebra and in particular the bosonic and fermionic Euler relations

More information

CHAPTER 5: Analytic Trigonometry

CHAPTER 5: Analytic Trigonometry ) (Answers for Chapter 5: Analytic Trigonometry) A.5. CHAPTER 5: Analytic Trigonometry SECTION 5.: FUNDAMENTAL TRIGONOMETRIC IDENTITIES Left Side Right Side Type of Identity (ID) csc( x) sin x Reciprocal

More information

DRAFT - Math 102 Lecture Note - Dr. Said Algarni

DRAFT - Math 102 Lecture Note - Dr. Said Algarni Math02 - Term72 - Guides and Exercises - DRAFT 7 Techniques of Integration A summery for the most important integrals that we have learned so far: 7. Integration by Parts The Product Rule states that if

More information

Infinite Series. 1 Introduction. 2 General discussion on convergence

Infinite Series. 1 Introduction. 2 General discussion on convergence Infinite Series 1 Introduction I will only cover a few topics in this lecture, choosing to discuss those which I have used over the years. The text covers substantially more material and is available for

More information

Numerical Methods and Computation Prof. S.R.K. Iyengar Department of Mathematics Indian Institute of Technology Delhi

Numerical Methods and Computation Prof. S.R.K. Iyengar Department of Mathematics Indian Institute of Technology Delhi Numerical Methods and Computation Prof. S.R.K. Iyengar Department of Mathematics Indian Institute of Technology Delhi Lecture No - 27 Interpolation and Approximation (Continued.) In our last lecture we

More information

Algebra II End of Course Exam Answer Key Segment I. Scientific Calculator Only

Algebra II End of Course Exam Answer Key Segment I. Scientific Calculator Only Algebra II End of Course Exam Answer Key Segment I Scientific Calculator Only Question 1 Reporting Category: Modeling & Problem Solving Common Core Standard: A-REI.4a: Solve quadratic equations in one

More information

Offset Spheroidal Mirrors for Gaussian Beam Optics in ZEMAX

Offset Spheroidal Mirrors for Gaussian Beam Optics in ZEMAX Offset Spheroidal Mirrors for Gaussian Beam Optics in ZEMAX Antony A. Stark and Urs Graf Smithsonian Astrophysical Observatory, University of Cologne aas@cfa.harvard.edu 1 October 2013 This memorandum

More information

Beamspace Adaptive Beamforming and the GSC

Beamspace Adaptive Beamforming and the GSC April 27, 2011 Overview The MVDR beamformer: performance and behavior. Generalized Sidelobe Canceller reformulation. Implementation of the GSC. Beamspace interpretation of the GSC. Reduced complexity of

More information

College Prep Math Final Exam Review Packet

College Prep Math Final Exam Review Packet College Prep Math Final Exam Review Packet Name: Date of Exam: In Class 1 Directions: Complete each assignment using the due dates given by the calendar below. If you are absent from school, you are still

More information

ELG7177: MIMO Comunications. Lecture 3

ELG7177: MIMO Comunications. Lecture 3 ELG7177: MIMO Comunications Lecture 3 Dr. Sergey Loyka EECS, University of Ottawa S. Loyka Lecture 3, ELG7177: MIMO Comunications 1 / 29 SIMO: Rx antenna array + beamforming single Tx antenna multiple

More information

Practice Test 3 A Sections.4 and.5, (11634851) Question 345678910111314151617181903456789303133334353 Description This is practice test A to help prepare for Test 3. It covers sections.4 and.5. Part B

More information

Linear Wire Antennas Dipoles and Monopoles

Linear Wire Antennas Dipoles and Monopoles inear Wire Antennas Dipoles and Monopoles The dipole and the monopole are arguably the two most widely used antennas across the UHF, VHF and lower-microwave bands. Arrays of dipoles are commonly used as

More information

Grade Math (HL) Curriculum

Grade Math (HL) Curriculum Grade 11-12 Math (HL) Curriculum Unit of Study (Core Topic 1 of 7): Algebra Sequences and Series Exponents and Logarithms Counting Principles Binomial Theorem Mathematical Induction Complex Numbers Uses

More information

Lecture 4/12: Polar Form and Euler s Formula. 25 Jan 2007

Lecture 4/12: Polar Form and Euler s Formula. 25 Jan 2007 Lecture 4/12: Polar Form and Euler s Formula MA154: Algebra for 1st Year IT Niall Madden Niall.Madden@NUIGalway.ie 25 Jan 2007 CS457 Lecture 4/12: Polar Form and Euler s Formula 1/17 Outline 1 Recall...

More information

d 1 µ 2 Θ = 0. (4.1) consider first the case of m = 0 where there is no azimuthal dependence on the angle φ.

d 1 µ 2 Θ = 0. (4.1) consider first the case of m = 0 where there is no azimuthal dependence on the angle φ. 4 Legendre Functions In order to investigate the solutions of Legendre s differential equation d ( µ ) dθ ] ] + l(l + ) m dµ dµ µ Θ = 0. (4.) consider first the case of m = 0 where there is no azimuthal

More information