is monotonically decreasing function of Ω, it is also called maximally flat at the

Size: px
Start display at page:

Download "is monotonically decreasing function of Ω, it is also called maximally flat at the"

Transcription

1 Le.8 Aalog Filte Desig 8. Itodtio: Let s eview aalog filte desig sig lowpass pototype tasfomatio. This method ovets the aalog lowpass filte with a toff feqey of adia pe seod, alled the lowpass pototype, ito patial aalog lowpass, highpass, badpass, ad badstop filtes with thei feqey speifiatios. 8. Bttewoth Filtes 8.. Bttewoth low-pass filte LPF A typial feqey espose fo a Bttewoth low-pass filte of ode is show i Fig. 8.. j + / Popeties: 8. j 0 fo all j fo all fiite j db Fig.8. Bttewoth LPF /s j is mootoially deeasig ftio of, it is also alled maximally flat at the oigi sie all deivatives exist ad ae zeo. As, we get ideal espose. The omalized LP Bttewoth is obtaied whe: ad / se. Sbstittig S j i eq. 8., ad eaage to get the LP Bttewoth poles, the: S [ + / ] Fo odd, S K k π /, k 0,,,..., 8.a Fo eve, k π / + π /, k 0,,,..., 8..b S K Fo stable ad asal filte: S S S B S 8.3 LP poles k B S : Bttewoth polyomial of ode see Table. 54

2 LP: Left half plae. Example: Fid the tasfe ftio S fo the omalized Bttewoth filte of ode oe. Soltio: applyig eq.8.a, whee, k 0, S 0 0 S S π. Usig eq. 8.3 ad takig LP poles S : S S S S + I m S * * R e S S -S 8.. Aalog- to aalog tasfomatio To obtai Bttewoth filtes with toff feqeies othe tha ad /se. It is oveiet to se ad /se. Bttewoth filtes as pototypes ad apply aalog-to-aalog tasfomatio see Table. The tasfomatioal method is ot limited i its appliatio to Bttewoth filtes. 55

3 8..3 Desig Eqatios of Bttewoth Filtes: A Bttewoth LPF Filte of ode is give by the followig eqatio: log } 0. k 0. k 0 { 0 / log0 / ee, / /, see Table. Whee, k, k,, ad ae the pass-bad gai ad stop-bad atteatio with thei elative feqeies espetivelysee Table. To satisfy o eqiemet at exatly, the: / 0 0. k / 8.5a To satisfy o eqiemet at / 0 0. k exatly, the: / 8.5b is the toff feqey at 3dB Example : desig a aalog Bttewoth LPF that has a db btte toff feqey of 0 ad/se. ad at least 0 db of atteatio at 30 ad/se. Soltio: Applyig eq. 8.4, whee k - db, k -0 db, ad/se log { 0 log 0 / 0 0 / 30 } 0. 0 To satisfy o eqiemet at exatly, the: 0 ad/se., ad / 8 0 / ad / se Fom Table of omalized Bttewoth LPF ad/ se with 4 : S S S + S S + Usig Table ad applyig LP LP tasfomatio, S S /.3836, ad eaagig: S S S S S Fo Bttewoth PF: - Pt / / i eqatio 8.4, ad fid its ode.see Table 56

4 - Use Table to fid the omalized Bttewoth LPF eqatio with ode. 3- Apply LP P tasfomatio, S / S, ad eaage the eqatio obtaied i step. Fo Bttewoth BPF: - Callate mi { A, B } sig eqatios give i Table. Fid the filte ode sig eq Use Table to fid the omalized Bttewoth LPF eqatio with ode. S + l 3- Apply LP BP tasfomatio, S, ad eaage the eqatio S obtaied i step Fo Bttewoth BSF: Refe to Table to see the vaiables. l Fig. 8. Bttewoth BPF Example 3: Desig a aalog Bttewoth BPF with the followig /s: A db ppe ad lowe toff feqeies of 50 z ad 0 Kz. A stop-bad atteatio of at least 0 db at 0 z ad 45 kz. Soltio: π ad / se. π 45 x x0 5 ad / se. π 0 x x 0 5 ad / se. l π ad / se Callate mi { A, B } mi.5053, by sig eqatios give i Table. Apply eq. 8.4 to fid:.89 3 Fom Table of omalized Bttewoth LPF ad/ se with 3: 3 S 3 S + S + S + Apply LP BP tasfomatio by sbstittig S S S + l l 7 S S , i the above eqatio ad eaage it to obtai BPF as.w 57

5 8.3 Chebyshev Filtes: Thee ae two types of Chebyshev Filtes: - Oe otaiig a ipple i the pass-bad type. - Oe otaiig a ipple i the stop-bad type. j + ε T 8.6 T is the th ode Chebyshev polyomial whee T 0 x, ad T x x as listed i Table 3. ε is a paamete hose to povide the pope pass-bad ipple. Fig. 8.3 shows omalized Chebyshev Filtes of both types. odd eve Fig. 8.3 Nomalized Chebyshev filtes of type fo odd, ad eve 8.3. Desig Eqatios of Chebyshev Filtes: log 0 [ g + g ] 8.7 log0 [ + ] 0log / [/ A ] stopbad atteatio 8.8a 0 db / g [ A / ε ] 8.8b S K V 0 b K V K S S 0 / LPF poles 0 + ε K K V S odd eve 8.9 Table 4 gives V S fo to 0 ad ε oespodig to 0.5,,, ad 3 db ipples. Table 5 gives the zeos {poles of S } fo the same ad ε. 58

6 8.3. Desig steps of Chebeshev LPF, PF, BPF, ad BSF : - Use the bakwad desig eqatios fom Table to obtai omalized LPF eqiemets. -Callate A sig eq. 8.8a 3-Callate g fom eq. 8.8b, the apply eq.8.7 to fid the ode. 4- Use Table 4 ad Table 5 to fid the Chebeshev Filte eqatio with ode. 5- Apply LP LP o P o BP o BS tasfomatio Table ad eaage the eqatio obtaied i step 4. Example 4: Desig a Chebshev filte to satisfy the followig speifiatios: -Aeptable pass-bad ipple of db -Ctoff feqey of 40 ad/se. 3- stop-bad atteatio of 0 db o moe at 5 ad/se. Soltio: Fom Table / 5/ 40.3 ad/se. 0log / [/ A ] 0, A 0, sig ε db see Table 4 ad Table 5 0 Applyig eq. 8.8b, the g 3.0 log [ ] , odd log0 [.3.3 ] + Fom Table 4 with 5 ad ε db S S S S S S Usig poles fom Table 5: S S S S S S Usig Table ad applyig LP LP tasfomatio, S S / 40, ad eaagig the above eqatio: S S S S S LPF S Notes:. Bttewoth o maximally flat amplitde; as the ode is ieased the espose beomes flatte i the pass-bad ad the atteatio is geate i the stop-bad. 59

7 . Chebshev Filte has a shape toff; i.e., a aowe tasitio bad best amplitde espose tha a Bttewoth filte of the same ode 3. Chebshev Filte povides pooest phase espose most oliea. The Bttewoth filte ompomise betwee amplitde ad phase this is oe of the easos fo its widespead poplaity. 8.4 Ellipti Filtes: A LP ellipti filte povides a smalle tasitio width ad is optimm i the sese that o othe filte of the same ode has a aowe tasitio width fo a give pass-bad ipple ad stop-bad atteatio. Fig. 8.4a omalized ellipti LPF Fig. 8.4b ellipti LP filtes types Fig. 8.4 a shows a omalized ellipti LPF ad Fig. 8.4 b shows ellipti LP filtes of type odd, ad type eve Desig steps of Ellipti LPF, PF, BPF, ad BSF : sig Table 6. Loate k aeptable pass-bad ipple db, ad k stop-bad atteatio db.. Callate sig Table, pp At olm, take a vale less tha. 4. The filte ode is the fa left of that ow, ad the oeffiiets fo the filte ae fod i all ows oespodig to that. 5. Aodig to, the omalized ellipti LPF eqatios ae: / S + A o 0 i S, odd 8.0 a S + S S + B S + B o i i o i 60

8 S + A S 0 S, eve 8.0 b B / 0 i i S + Bi S + 6- Apply LP LP o P o BP o BS tasfomatio Table ad eaage the eqatio obtaied i step 5. o i Notes: Fo omalized ellipti filte, geometi mea, ad /,the 0.5, ad 0.5 Fo ot omalized ellipti filte, The /. /, whee / 0 ad / ellipti hebeshev Bttewoth Example 5 : Fid the tasfe ftio fo a ellipti LPF with db toff vale at 0000 ad/se., ad a stop-bad atteatio of 40 db fo all past 4400 ad/se. Soltio: { } / /000 5/6 ad / 0 / 4400/000 6/5 /.44, k db, ad k 40 db. Fom Table 6, 4 Applyig eq. 8.0 b, Whee: 0 0.0, A , B , ad B , i A , B , ad B i S S 0.0 S S S S S Apply LP LP tasfomatio Table, whee 0 geometi mea 000. Sbstittig S S / 000 i the above eqatio: S S S S S S S LPF 6

Analog Filter Synthesis

Analog Filter Synthesis 6 Aalog Filter Sythesis Nam Pham Aubur Uiversity Bogda M. Wilamowsi Aubur Uiversity 6. Itrodutio...6-6. Methods to Sythesize Low-Pass Filter...6- Butterworth Low-Pass Filter Chebyshev Low-Pass Filter Iverse

More information

The Discrete Fourier Transform

The Discrete Fourier Transform (7) The Discete Fouie Tasfom The Discete Fouie Tasfom hat is Discete Fouie Tasfom (DFT)? (ote: It s ot DTFT discete-time Fouie tasfom) A liea tasfomatio (mati) Samples of the Fouie tasfom (DTFT) of a apeiodic

More information

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES O completio of this ttoial yo shold be able to do the followig. Eplai aithmetical ad geometic pogessios. Eplai factoial otatio

More information

Absolute Specifications: A typical absolute specification of a lowpass filter is shown in figure 1 where:

Absolute Specifications: A typical absolute specification of a lowpass filter is shown in figure 1 where: FIR FILTER DESIGN The design of an digital filte is caied out in thee steps: ) Specification: Befoe we can design a filte we must have some specifications. These ae detemined by the application. ) Appoximations

More information

On composite conformal mapping of an annulus to a plane with two holes

On composite conformal mapping of an annulus to a plane with two holes O composite cofomal mappig of a aulus to a plae with two holes Mila Batista (July 07) Abstact I the aticle we coside the composite cofomal map which maps aulus to ifiite egio with symmetic hole ad ealy

More information

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P. Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a

More information

2012 GCE A Level H2 Maths Solution Paper Let x,

2012 GCE A Level H2 Maths Solution Paper Let x, GCE A Level H Maths Solutio Pape. Let, y ad z be the cost of a ticet fo ude yeas, betwee ad 5 yeas, ad ove 5 yeas categoies espectively. 9 + y + 4z =. 7 + 5y + z = 8. + 4y + 5z = 58.5 Fo ude, ticet costs

More information

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi d Iteatioal Cofeece o Electical Compute Egieeig ad Electoics (ICECEE 5 Mappig adius of egula Fuctio ad Cete of Covex egio Dua Wexi School of Applied Mathematics Beijig Nomal Uivesity Zhuhai Chia 363463@qqcom

More information

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method CHAPTER 5 : SERIES 5.1 Seies 5. The Sum of a Seies 5..1 Sum of Powe of Positive Iteges 5.. Sum of Seies of Patial Factio 5..3 Diffeece Method 5.3 Test of covegece 5.3.1 Divegece Test 5.3. Itegal Test 5.3.3

More information

Lecture 24: Observability and Constructibility

Lecture 24: Observability and Constructibility ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio

More information

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T BINOMIAL THEOREM_SYNOPSIS Geatest tem (umeically) i the epasio of ( + ) Method Let T ( The th tem) be the geatest tem. Fid T, T, T fom the give epasio. Put T T T ad. Th will give a iequality fom whee value

More information

At the end of this topic, students should be able to understand the meaning of finite and infinite sequences and series, and use the notation u

At the end of this topic, students should be able to understand the meaning of finite and infinite sequences and series, and use the notation u Natioal Jio College Mathematics Depatmet 00 Natioal Jio College 00 H Mathematics (Seio High ) Seqeces ad Seies (Lecte Notes) Topic : Seqeces ad Seies Objectives: At the ed of this topic, stdets shold be

More information

Auchmuty High School Mathematics Department Sequences & Series Notes Teacher Version

Auchmuty High School Mathematics Department Sequences & Series Notes Teacher Version equeces ad eies Auchmuty High chool Mathematics Depatmet equeces & eies Notes Teache Vesio A sequece takes the fom,,7,0,, while 7 0 is a seies. Thee ae two types of sequece/seies aithmetic ad geometic.

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 41 Digital Signal Pocessing Pof. Mak Fowle Note Set #31 Linea Phase FIR Design Optimum Equiipple (Paks-McClellan) Reading: Sect. 1.2.4 1.2.6 of Poakis & Manolakis 1/2 Motivation The window method and

More information

Zero Level Binomial Theorem 04

Zero Level Binomial Theorem 04 Zeo Level Biomial Theoem 0 Usig biomial theoem, epad the epasios of the Fid the th tem fom the ed i the epasio of followig : (i ( (ii, 0 Fid the th tem fom the ed i the epasio of (iii ( (iv ( a (v ( (vi,

More information

MATH Midterm Solutions

MATH Midterm Solutions MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca

More information

Generalizations and analogues of the Nesbitt s inequality

Generalizations and analogues of the Nesbitt s inequality OCTOGON MATHEMATICAL MAGAZINE Vol 17, No1, Apil 2009, pp 215-220 ISSN 1222-5657, ISBN 978-973-88255-5-0, wwwhetfaluo/octogo 215 Geealiatios ad aalogues of the Nesbitt s iequalit Fuhua Wei ad Shahe Wu 19

More information

Partial Differential Equations

Partial Differential Equations EE 84 Matematical Metods i Egieerig Partial Differetial Eqatios Followig are some classical partial differetial eqatios were is assmed to be a fctio of two or more variables t (time) ad y (spatial coordiates).

More information

Einstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : ,

Einstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : , MB BINOMIAL THEOREM Biomial Epessio : A algebaic epessio which cotais two dissimila tems is called biomial epessio Fo eample :,,, etc / ( ) Statemet of Biomial theoem : If, R ad N, the : ( + ) = a b +

More information

MATH /19: problems for supervision in week 08 SOLUTIONS

MATH /19: problems for supervision in week 08 SOLUTIONS MATH10101 2018/19: poblems fo supevisio i week 08 Q1. Let A be a set. SOLUTIONS (i Pove that the fuctio c: P(A P(A, defied by c(x A \ X, is bijective. (ii Let ow A be fiite, A. Use (i to show that fo each

More information

BINOMIAL THEOREM An expression consisting of two terms, connected by + or sign is called a

BINOMIAL THEOREM An expression consisting of two terms, connected by + or sign is called a BINOMIAL THEOREM hapte 8 8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4 5y, etc., ae all biomial epessios. 8.. Biomial theoem If

More information

a) The average (mean) of the two fractions is halfway between them: b) The answer is yes. Assume without loss of generality that p < r.

a) The average (mean) of the two fractions is halfway between them: b) The answer is yes. Assume without loss of generality that p < r. Solutios to MAML Olympiad Level 00. Factioated a) The aveage (mea) of the two factios is halfway betwee them: p ps+ q ps+ q + q s qs qs b) The aswe is yes. Assume without loss of geeality that p

More information

Series: Infinite Sums

Series: Infinite Sums Series: Ifiite Sums Series are a way to mae sese of certai types of ifiitely log sums. We will eed to be able to do this if we are to attai our goal of approximatig trascedetal fuctios by usig ifiite degree

More information

BINOMIAL THEOREM NCERT An expression consisting of two terms, connected by + or sign is called a

BINOMIAL THEOREM NCERT An expression consisting of two terms, connected by + or sign is called a 8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4, etc., ae all biomial 5y epessios. 8.. Biomial theoem BINOMIAL THEOREM If a ad b ae

More information

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to Compaiso Fuctios I this lesso, we study stability popeties of the oautoomous system = f t, x The difficulty is that ay solutio of this system statig at x( t ) depeds o both t ad t = x Thee ae thee special

More information

11.6 Absolute Convergence and the Ratio and Root Tests

11.6 Absolute Convergence and the Ratio and Root Tests .6 Absolute Covergece ad the Ratio ad Root Tests The most commo way to test for covergece is to igore ay positive or egative sigs i a series, ad simply test the correspodig series of positive terms. Does

More information

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2 Beroulli Numbers Beroulli umbers are amed after the great Swiss mathematiia Jaob Beroulli5-705 who used these umbers i the power-sum problem. The power-sum problem is to fid a formula for the sum of the

More information

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual Math 66 Week-i-Review - S. Nite // Page of Week i Review #9 (F-F.4, 4.-4.4,.-.) Simple Iteest I = Pt, whee I is the iteest, P is the picipal, is the iteest ate, ad t is the time i yeas. P( + t), whee A

More information

This web appendix outlines sketch of proofs in Sections 3 5 of the paper. In this appendix we will use the following notations: c i. j=1.

This web appendix outlines sketch of proofs in Sections 3 5 of the paper. In this appendix we will use the following notations: c i. j=1. Web Appedix: Supplemetay Mateials fo Two-fold Nested Desigs: Thei Aalysis ad oectio with Nopaametic ANOVA by Shu-Mi Liao ad Michael G. Akitas This web appedix outlies sketch of poofs i Sectios 3 5 of the

More information

How to Maximize a Function without Really Trying

How to Maximize a Function without Really Trying How to Maximize a Fuctio without Really Tryig MARK FLANAGAN School of Electrical, Electroic ad Commuicatios Egieerig Uiversity College Dubli We will prove a famous elemetary iequality called The Rearragemet

More information

Section 11.8: Power Series

Section 11.8: Power Series Sectio 11.8: Power Series 1. Power Series I this sectio, we cosider geeralizig the cocept of a series. Recall that a series is a ifiite sum of umbers a. We ca talk about whether or ot it coverges ad i

More information

Electronic Circuits EE359A

Electronic Circuits EE359A Electronic Circuits EE359A Bruce McNair B26 bmcnair@stevens.edu 21-216-5549 Lecture 22 569 Second order section Ts () = s as + as+ a 2 2 1 ω + s+ ω Q 2 2 ω 1 p, p = ± 1 Q 4 Q 1 2 2 57 Second order section

More information

Matthias Liepe, P4456/7656, Spring 2010, Cornell University Slide 1. Matthias Liepe, P4456/7656, Spring 2010, Cornell University Slide 2

Matthias Liepe, P4456/7656, Spring 2010, Cornell University Slide 1. Matthias Liepe, P4456/7656, Spring 2010, Cornell University Slide 2 5. F ystems ad Patile Aeleatio 5. Waveguides 5..3 Cylidial Waveguides 5. Aeleatig F Cavities 5.. Itodutio 5.. Tavelig wave avity: dis loaded waveguide 5..3 tadig wave avities 5..4 Highe-Ode-Modes 5..5

More information

Generalized Fibonacci-Lucas Sequence

Generalized Fibonacci-Lucas Sequence Tuish Joual of Aalysis ad Numbe Theoy, 4, Vol, No 6, -7 Available olie at http://pubssciepubcom/tjat//6/ Sciece ad Educatio Publishig DOI:6/tjat--6- Geealized Fiboacci-Lucas Sequece Bijeda Sigh, Ompaash

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

Multivector Functions

Multivector Functions I: J. Math. Aal. ad Appl., ol. 24, No. 3, c Academic Pess (968) 467 473. Multivecto Fuctios David Hestees I a pevious pape [], the fudametals of diffeetial ad itegal calculus o Euclidea -space wee expessed

More information

This section is optional.

This section is optional. 4 Momet Geeratig Fuctios* This sectio is optioal. The momet geeratig fuctio g : R R of a radom variable X is defied as g(t) = E[e tx ]. Propositio 1. We have g () (0) = E[X ] for = 1, 2,... Proof. Therefore

More information

Math 2784 (or 2794W) University of Connecticut

Math 2784 (or 2794W) University of Connecticut ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really

More information

Circular Motion. x-y coordinate systems. Other coordinates... PHY circular-motion - J. Hedberg

Circular Motion. x-y coordinate systems. Other coordinates... PHY circular-motion - J. Hedberg Cicula Motion PHY 207 - cicula-motion - J. Hedbeg - 2017 x-y coodinate systems Fo many situations, an x-y coodinate system is a geat idea. Hee is a map on Manhattan. The steets ae laid out in a ectangula

More information

x c the remainder is Pc ().

x c the remainder is Pc (). Algebra, Polyomial ad Ratioal Fuctios Page 1 K.Paulk Notes Chapter 3, Sectio 3.1 to 3.4 Summary Sectio Theorem Notes 3.1 Zeros of a Fuctio Set the fuctio to zero ad solve for x. The fuctio is zero at these

More information

On a Problem of Littlewood

On a Problem of Littlewood Ž. JOURAL OF MATHEMATICAL AALYSIS AD APPLICATIOS 199, 403 408 1996 ARTICLE O. 0149 O a Poblem of Littlewood Host Alze Mosbache Stasse 10, 51545 Waldbol, Gemay Submitted by J. L. Bee Received May 19, 1995

More information

MAT2400 Assignment 2 - Solutions

MAT2400 Assignment 2 - Solutions MAT24 Assigmet 2 - Soltios Notatio: For ay fctio f of oe real variable, f(a + ) deotes the limit of f() whe teds to a from above (if it eists); i.e., f(a + ) = lim t a + f(t). Similarly, f(a ) deotes the

More information

Practice Problems: Taylor and Maclaurin Series

Practice Problems: Taylor and Maclaurin Series Practice Problems: Taylor ad Maclauri Series Aswers. a) Start by takig derivatives util a patter develops that lets you to write a geeral formula for the -th derivative. Do t simplify as you go, because

More information

LESSON 15: COMPOUND INTEREST

LESSON 15: COMPOUND INTEREST High School: Expoeial Fuctios LESSON 15: COMPOUND INTEREST 1. You have see this fomula fo compoud ieest. Paamete P is the picipal amou (the moey you stat with). Paamete is the ieest ate pe yea expessed

More information

4. PERMUTATIONS AND COMBINATIONS Quick Review

4. PERMUTATIONS AND COMBINATIONS Quick Review 4 ERMUTATIONS AND COMBINATIONS Quick Review A aagemet that ca be fomed by takig some o all of a fiite set of thigs (o objects) is called a emutatio A emutatio is said to be a liea emutatio if the objects

More information

On ARMA(1,q) models with bounded and periodically correlated solutions

On ARMA(1,q) models with bounded and periodically correlated solutions Reseach Repot HSC/03/3 O ARMA(,q) models with bouded ad peiodically coelated solutios Aleksade Weo,2 ad Agieszka Wy oma ska,2 Hugo Steihaus Cete, Woc aw Uivesity of Techology 2 Istitute of Mathematics,

More information

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number MATH 532 Itegrable Fuctios Dr. Neal, WKU We ow shall defie what it meas for a measurable fuctio to be itegrable, show that all itegral properties of simple fuctios still hold, ad the give some coditios

More information

BINOMIAL THEOREM & ITS SIMPLE APPLICATION

BINOMIAL THEOREM & ITS SIMPLE APPLICATION Etei lasses, Uit No. 0, 0, Vadhma Rig Road Plaza, Vikas Pui Et., Oute Rig Road New Delhi 0 08, Ph. : 9690, 87 MB Sllabus : BINOMIAL THEOREM & ITS SIMPLE APPLIATION Biomia Theoem fo a positive itegal ide;

More information

Multiple Experts with Binary Features

Multiple Experts with Binary Features Multiple Expets with Binay Featues Ye Jin & Lingen Zhang Decembe 9, 2010 1 Intoduction Ou intuition fo the poect comes fom the pape Supevised Leaning fom Multiple Expets: Whom to tust when eveyone lies

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

ADDITIONAL INTEGRAL TRANSFORMS

ADDITIONAL INTEGRAL TRANSFORMS Chapte IX he Itegal asfom Methods IX.7 Additioal Itegal asfoms August 5 7 897 IX.7 ADDIIONAL INEGRAL RANSFORMS 6.7. Solutio of 3-D Heat Equatio i Cylidical Coodiates 6.7. Melli asfom 6.7.3 Legede asfom

More information

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms.

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms. [ 11 ] 1 1.1 Polyomial Fuctios 1 Algebra Ay fuctio f ( x) ax a1x... a1x a0 is a polyomial fuctio if ai ( i 0,1,,,..., ) is a costat which belogs to the set of real umbers ad the idices,, 1,...,1 are atural

More information

9.3 Power Series: Taylor & Maclaurin Series

9.3 Power Series: Taylor & Maclaurin Series 9.3 Power Series: Taylor & Maclauri Series If is a variable, the a ifiite series of the form 0 is called a power series (cetered at 0 ). a a a a a 0 1 0 is a power series cetered at a c a a c a c a c 0

More information

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME - ALGEBRAIC TECHNIQUES TUTORIAL - PROGRESSIONS CONTENTS Be able to apply algebaic techiques Aithmetic pogessio (AP): fist

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

Mixingales. Chapter 7

Mixingales. Chapter 7 Chapter 7 Mixigales I this sectio we prove some of the results stated i the previous sectios usig mixigales. We first defie a mixigale, otig that the defiitio we give is ot the most geeral defiitio. Defiitio

More information

4. PERMUTATIONS AND COMBINATIONS

4. PERMUTATIONS AND COMBINATIONS 4. PERMUTATIONS AND COMBINATIONS PREVIOUS EAMCET BITS 1. The umbe of ways i which 13 gold cois ca be distibuted amog thee pesos such that each oe gets at least two gold cois is [EAMCET-000] 1) 3 ) 4 3)

More information

CS 5150/6150: Assignment 1 Due: Sep 23, 2010

CS 5150/6150: Assignment 1 Due: Sep 23, 2010 CS 5150/6150: Assigmet 1 Due: Sep 23, 2010 Wei Liu September 24, 2010 Q1: (1) Usig master theorem: a = 7, b = 4, f() = O(). Because f() = log b a ε holds whe ε = log b a = log 4 7, we ca apply the first

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

Lesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r x k We assume uncorrelated noise v(n). LTH. September 2010

Lesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r x k We assume uncorrelated noise v(n). LTH. September 2010 Optimal Sigal Poceig Leo 5 Chapte 7 Wiee Filte I thi chapte we will ue the model how below. The igal ito the eceive i ( ( iga. Nomally, thi igal i ditubed by additive white oie v(. The ifomatio i i (.

More information

Some Integral Mean Estimates for Polynomials

Some Integral Mean Estimates for Polynomials Iteatioal Mathematical Foum, Vol. 8, 23, o., 5-5 HIKARI Ltd, www.m-hikai.com Some Itegal Mea Estimates fo Polyomials Abdullah Mi, Bilal Ahmad Da ad Q. M. Dawood Depatmet of Mathematics, Uivesity of Kashmi

More information

6.003 Homework #12 Solutions

6.003 Homework #12 Solutions 6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] (below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F

More information

The z Transform. The Discrete LTI System Response to a Complex Exponential

The z Transform. The Discrete LTI System Response to a Complex Exponential The Trasform The trasform geeralies the Discrete-time Forier Trasform for the etire complex plae. For the complex variable is sed the otatio: jω x+ j y r e ; x, y Ω arg r x + y {} The Discrete LTI System

More information

2.Decision Theory of Dependence

2.Decision Theory of Dependence .Deciio Theoy of Depedece Theoy :I et of vecto if thee i uet which i liely depedet the whole et i liely depedet too. Coolly :If the et i liely idepedet y oepty uet of it i liely idepedet. Theoy : Give

More information

Divisibility. c = bf = (ae)f = a(ef) EXAMPLE: Since 7 56 and , the Theorem above tells us that

Divisibility. c = bf = (ae)f = a(ef) EXAMPLE: Since 7 56 and , the Theorem above tells us that Divisibility DEFINITION: If a and b ae integes with a 0, we say that a divides b if thee is an intege c such that b = ac. If a divides b, we also say that a is a diviso o facto of b. NOTATION: d n means

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

More information

Homologous Stars: Simple Scaling Relations

Homologous Stars: Simple Scaling Relations Homologous Stas: Simple Salig elatios Covetig the equatios of stella stutue fom diffeetial to diffeee equatios, effetively doig dimesioal aalysis ad assumig self-simila solutios, we a extat simple geeal

More information

Minimization of the quadratic test function

Minimization of the quadratic test function Miimizatio of the quadatic test fuctio A quadatic fom is a scala quadatic fuctio of a vecto with the fom f ( ) A b c with b R A R whee A is assumed to be SPD ad c is a scala costat Note: A symmetic mati

More information

MAGNETIC FIELD AROUND TWO SEPARATED MAGNETIZING COILS

MAGNETIC FIELD AROUND TWO SEPARATED MAGNETIZING COILS The 8 th Intenational Confeence of the Slovenian Society fo Non-Destuctive Testing»pplication of Contempoay Non-Destuctive Testing in Engineeing«Septembe 1-3, 5, Potoož, Slovenia, pp. 17-1 MGNETIC FIELD

More information

Counting Functions and Subsets

Counting Functions and Subsets CHAPTER 1 Coutig Fuctios ad Subsets This chapte of the otes is based o Chapte 12 of PJE See PJE p144 Hee ad below, the efeeces to the PJEccles book ae give as PJE The goal of this shot chapte is to itoduce

More information

Electron states in a periodic potential. Assume the electrons do not interact with each other. Solve the single electron Schrodinger equation: KJ =

Electron states in a periodic potential. Assume the electrons do not interact with each other. Solve the single electron Schrodinger equation: KJ = Electo states i a peiodic potetial Assume the electos do ot iteact with each othe Solve the sigle electo Schodige equatio: 2 F h 2 + I U ( ) Ψ( ) EΨ( ). 2m HG KJ = whee U(+R)=U(), R is ay Bavais lattice

More information

Technical Report: Bessel Filter Analysis

Technical Report: Bessel Filter Analysis Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we

More information

Ch3 Discrete Time Fourier Transform

Ch3 Discrete Time Fourier Transform Ch3 Discrete Time Fourier Trasform 3. Show that the DTFT of [] is give by ( k). e k 3. Determie the DTFT of the two sided sigal y [ ],. 3.3 Determie the DTFT of the causal sequece x[ ] A cos( 0 ) [ ],

More information

Using Difference Equations to Generalize Results for Periodic Nested Radicals

Using Difference Equations to Generalize Results for Periodic Nested Radicals Usig Diffeece Equatios to Geealize Results fo Peiodic Nested Radicals Chis Lyd Uivesity of Rhode Islad, Depatmet of Mathematics South Kigsto, Rhode Islad 2 2 2 2 2 2 2 π = + + +... Vieta (593) 2 2 2 =

More information

Quantum Mechanics Lecture Notes 10 April 2007 Meg Noah

Quantum Mechanics Lecture Notes 10 April 2007 Meg Noah The -Patice syste: ˆ H V This is difficut to sove. y V 1 ˆ H V 1 1 1 1 ˆ = ad with 1 1 Hˆ Cete of Mass ˆ fo Patice i fee space He Reative Haitoia eative coodiate of the tota oetu Pˆ the tota oetu tota

More information

Conditional Convergence of Infinite Products

Conditional Convergence of Infinite Products Coditioal Covegece of Ifiite Poducts William F. Tech Ameica Mathematical Mothly 106 1999), 646-651 I this aticle we evisit the classical subject of ifiite poducts. Fo stadad defiitios ad theoems o this

More information

Relation (12.1) states that if two points belong to the convex subset Ω then all the points on the connecting line also belong to Ω.

Relation (12.1) states that if two points belong to the convex subset Ω then all the points on the connecting line also belong to Ω. Lectue 6. Poectio Opeato Deiitio A.: Subset Ω R is cove i [ y Ω R ] λ + λ [ y = z Ω], λ,. Relatio. states that i two poits belog to the cove subset Ω the all the poits o the coectig lie also belog to Ω.

More information

An alternating series is a series where the signs alternate. Generally (but not always) there is a factor of the form ( 1) n + 1

An alternating series is a series where the signs alternate. Generally (but not always) there is a factor of the form ( 1) n + 1 Calculus II - Problem Solvig Drill 20: Alteratig Series, Ratio ad Root Tests Questio No. of 0 Istructios: () Read the problem ad aswer choices carefully (2) Work the problems o paper as eeded (3) Pick

More information

( ) ( ) ( ) ( ) Solved Examples. JEE Main/Boards = The total number of terms in the expansion are 8.

( ) ( ) ( ) ( ) Solved Examples. JEE Main/Boards = The total number of terms in the expansion are 8. Mathematics. Solved Eamples JEE Mai/Boads Eample : Fid the coefficiet of y i c y y Sol: By usig fomula of fidig geeal tem we ca easily get coefficiet of y. I the biomial epasio, ( ) th tem is c T ( y )

More information

Taylor Transformations into G 2

Taylor Transformations into G 2 Iteatioal Mathematical Foum, 5,, o. 43, - 3 Taylo Tasfomatios ito Mulatu Lemma Savaah State Uivesity Savaah, a 344, USA Lemmam@savstate.edu Abstact. Though out this pape, we assume that

More information

Latticed pentamode acoustic cloak (supplementary Info)

Latticed pentamode acoustic cloak (supplementary Info) Lattied petamode aousti loak (supplemetay Ifo) Yi Che, Xiaoig Liu ad Gegkai Hu Key Laboatoy of yamis ad Cotol of Flight Vehile, Miisty of Eduatio, Shool of Aeospae Egieeig, Beiig Istitute of Tehology,

More information

Properties and Tests of Zeros of Polynomial Functions

Properties and Tests of Zeros of Polynomial Functions Properties ad Tests of Zeros of Polyomial Fuctios The Remaider ad Factor Theorems: Sythetic divisio ca be used to fid the values of polyomials i a sometimes easier way tha substitutio. This is show by

More information

6.003 Homework #12 Solutions

6.003 Homework #12 Solutions 6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F for

More information

Consider unordered sample of size r. This sample can be used to make r! Ordered samples (r! permutations). unordered sample

Consider unordered sample of size r. This sample can be used to make r! Ordered samples (r! permutations). unordered sample Uodeed Samples without Replacemet oside populatio of elemets a a... a. y uodeed aagemet of elemets is called a uodeed sample of size. Two uodeed samples ae diffeet oly if oe cotais a elemet ot cotaied

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES 11 INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES 11.4 The Compariso Tests I this sectio, we will lear: How to fid the value of a series by comparig it with a kow series. COMPARISON TESTS

More information

The minimum value and the L 1 norm of the Dirichlet kernel

The minimum value and the L 1 norm of the Dirichlet kernel The miimum value ad the L orm of the Dirichlet kerel For each positive iteger, defie the fuctio D (θ + ( cos θ + cos θ + + cos θ e iθ + + e iθ + e iθ + e + e iθ + e iθ + + e iθ which we call the (th Dirichlet

More information

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing Physics 6A Solutios to Homework Set # Witer 0. Boas, problem. 8 Use equatio.8 to fid a fractio describig 0.694444444... Start with the formula S = a, ad otice that we ca remove ay umber of r fiite decimals

More information

Finite q-identities related to well-known theorems of Euler and Gauss. Johann Cigler

Finite q-identities related to well-known theorems of Euler and Gauss. Johann Cigler Fiite -idetities elated to well-ow theoems of Eule ad Gauss Joha Cigle Faultät fü Mathemati Uivesität Wie A-9 Wie, Nodbegstaße 5 email: oha.cigle@uivie.ac.at Abstact We give geealizatios of a fiite vesio

More information

Calculus 2 TAYLOR SERIES CONVERGENCE AND TAYLOR REMAINDER

Calculus 2 TAYLOR SERIES CONVERGENCE AND TAYLOR REMAINDER Calulus TAYLO SEIES CONVEGENCE AND TAYLO EMAINDE Let the differee betwee f () ad its Taylor polyomial approimatio of order be (). f ( ) P ( ) + ( ) Cosider to be the remaider with the eat value ad the

More information

2 Governing Equations

2 Governing Equations 2 Govening Equations This chapte develops the govening equations of motion fo a homogeneous isotopic elastic solid, using the linea thee-dimensional theoy of elasticity in cylindical coodinates. At fist,

More information

11.1 Arithmetic Sequences and Series

11.1 Arithmetic Sequences and Series 11.1 Arithmetic Sequeces ad Series A itroductio 1, 4, 7, 10, 13 9, 1, 7, 15 6., 6.6, 7, 7.4 ππ+, 3, π+ 6 Arithmetic Sequeces ADD To get ext term 35 1 7. 3π + 9, 4, 8, 16, 3 9, 3, 1, 1/ 3 1,1/ 4,1/16,1/

More information

EL2520 Control Theory and Practice

EL2520 Control Theory and Practice oals EL252 Cotol Theoy ad Pactice Lecte 2: The closed-loop system Mikael Johasso School of Electical Egieeig KTH, Stockholm, Sede Afte this lecte, yo shold: Ko that the closed-loop is chaacteied by 6 tasfe

More information

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation Digital Sigal Proessig Homework Solutio Due Moda 4 Otober 00. Problem.4 Followig the method o page, the differee equatio [] (/4[-] + (/[-] x[-] has oeffiiets a0, a -/4, a /, ad b. For these oeffiiets A(z

More information

Series III. Chapter Alternating Series

Series III. Chapter Alternating Series Chapter 9 Series III With the exceptio of the Null Sequece Test, all the tests for series covergece ad divergece that we have cosidered so far have dealt oly with series of oegative terms. Series with

More information

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering UNIT V: -TRANSFORMS AND DIFFERENCE EQUATIONS D. V. Vllimml Deptmet of Applied Mthemtics Si Vektesw College of Egieeig TOPICS:. -Tsfoms Elemet popeties.. Ivese -Tsfom usig ptil fctios d esidues. Covolutio

More information

13.8 Signal Processing Examples

13.8 Signal Processing Examples 13.8 Sigal Pocessig Eamples E. 13.3 Time-Vaig Chael Estimatio T Mlti Path v(t) (t) Diect Path R Chael chages with time if: Relative motio betwee R, T Reflectos move/chage with time ( t) = T ht ( τ ) v(

More information

Math 21C Brian Osserman Practice Exam 2

Math 21C Brian Osserman Practice Exam 2 Math 1C Bria Osserma Practice Exam 1 (15 pts.) Determie the radius ad iterval of covergece of the power series (x ) +1. First we use the root test to determie for which values of x the series coverges

More information

Physics 161 Fall 2011 Extra Credit 2 Investigating Black Holes - Solutions The Following is Worth 50 Points!!!

Physics 161 Fall 2011 Extra Credit 2 Investigating Black Holes - Solutions The Following is Worth 50 Points!!! Physics 161 Fall 011 Exta Cedit Investigating Black Holes - olutions The Following is Woth 50 Points!!! This exta cedit assignment will investigate vaious popeties of black holes that we didn t have time

More information

Summation Method for Some Special Series Exactly

Summation Method for Some Special Series Exactly The Iteratioal Joural of Mathematis, Siee, Tehology ad Maagemet (ISSN : 39-85) Vol. Issue Summatio Method for Some Speial Series Eatly D.A.Gismalla Deptt. Of Mathematis & omputer Studies Faulty of Siee

More information