1. Nature of Impulse Response - Pole on Real Axis. z y(n) = r n. z r
|
|
- Gwenda Watson
- 6 years ago
- Views:
Transcription
1 . Nature of Impulse Respose - Pole o Real Axis Causal system trasfer fuctio: Hz) = z yz) = z r z z r y) = r r > : the respose grows mootoically > r > : y decays to zero mootoically r > : oscillatory, decayig expoetial r < : the output grows with oscillatios CL 69 Digital Cotrol, IIT Bombay c Kaa M. Moudgalya, Autum 6. Nature of Impulse Respose - Complex Cojugate Poles Hz) = z z re jω )z re jω ) A = α e jθ y) = α r [ e jω+θ) + e jω+θ) ] = α r cos ω + θ), r ω Calculate impulse respose Y z): Y z) z = = z z re jω )z re jω ) A z re + A jω z re jω A is complex, A is cojugate {u)} = y) = Ar e jω + A r e jω Arbitrary iput = sum of impulse fuctios Correspodig respose = sum of above siusoids CL 69 Digital Cotrol, IIT Bombay c Kaa M. Moudgalya, Autum 6 {δ k)}uk) = δ) u)
2 3. Properties of Cotiuous Siusoidal Sigals u a t) = A cos Ωt + θ), < t < A: amplitude Ω: frequecy i rad/s θ: phase i rad F : frequecy i cycles/s or Hertz Ω = πf u a t) = A cos πf t + θ). Cotiuous sigals with differet frequecies are differet u = cos π t ), u = cos π 7t ) coswt T p = F F fixed: periodic with period T p u a [t + T p ] = A cos πf t + F ) + θ) = A cos π + πf t + θ) = A cos πf t + θ) = u a [t] t 3. Frequecy of u rate of oscillatio of sigal - t is a cotiuous variable CL 69 Digital Cotrol, IIT Bombay 3 c Kaa M. Moudgalya, Autum 6 4. Complex Siusoids u a [t] = Ae jωt+θ) = A[cos Ωt + θ) + j si Ωt + θ)] For coveiece, egative frequecy Positive frequecy = couter clockwise rotatio Negative frequecy = clockwise rotatio u a [t] = A cos Ωt + θ) = A [e jωt+θ) + e jωt+θ) ] ] = Re [Ae jωt+θ) Re - real part. Im - imagiary ] u a [t] = A si Ωt + θ) = Im [Ae jωt+θ) CL 69 Digital Cotrol, IIT Bombay 4 c Kaa M. Moudgalya, Autum 6
3 5. Properties of Discrete Siusoidal Sigals - Periodicity u) = A cos w + θ), < < w = πf u) = cos πf + θ) u + N) = cos πf + N) + θ) iteger variable, sample umber A amplitude of the siusoid w frequecy i radias per sample θ phase i radias. f ormalized frequecy, cycles/sample u) is periodic with period N, N >, if ad oly if iff) u + N) = u) The smallest ozero N = fudametal period Equal iff there exists a iteger k: πf N = kπ f is ratioal f = k N N obtaied after cacellig the commo factors i k f is kow as fudametal period A discrete time siusoid is periodic oly if its frequecy f is a ratioal umber CL 69 Digital Cotrol, IIT Bombay 5 c Kaa M. Moudgalya, Autum 6 6. Properties of Discrete Siusoids - Idetical Sigals u) = A cos w + θ), < < w = πf iteger variable, sample umber A amplitude of the siusoid w frequecy i radias per sample θ phase i radias. f ormalized frequecy, cycles/sample All siusoidal sequeces u k ) u k ) = A cos w k + θ), w k = w + kπ, π < w < π are idistiguishable or idetical Oly the siusoids i rage π < w < π are differet Discrete time siusoids whose frequecies are separated by iteger multiple of π are idetical, i.e., cos w + π) + θ) = cos w + θ), π < w < π or < f < This property is differet from the previous oe Now fixed & varyig f Previously fixed f & varyig CL 69 Digital Cotrol, IIT Bombay 6 c Kaa M. Moudgalya, Autum 6
4 7. Properties of Discrete Siusoids - Highest Frequecy u) = A cos w + θ), < < w = πf iteger variable, sample umber A amplitude of the siusoid w frequecy i radias per sample θ phase i radias. f ormalized frequecy cycles/sample) cos w has bee plotted for cos*pi/).5.5 w values of π, π 4, π, π iteger 5 5 cos*pi/4) Highest oscillatio cos*pi/).5 cos*pi).5 w = π or w = π f = or f = CL 69 Digital Cotrol, IIT Bombay 7 c Kaa M. Moudgalya, Autum 6. Samplig a Cotiuous Sigal - Prelimiaries Let aalog sigal u a [t] have a frequecy of F Hz u a [t] = A cosπf t + θ) Uiform samplig rate T s s) or frequecy F s Hz) t = T s = F s u) = u a [T s ] < < = A cos πf T s + θ) = A cos π F ) + θ F s I our stadard otatio, u) = A cos πf + θ) It follows that f = F F s w = Ω F s = ΩT s Apply the uiqueess coditio for sampled sigals < f < F max = F s π < w < π Ω max = πf max = πf s = π T s CL 69 Digital Cotrol, IIT Bombay c Kaa M. Moudgalya, Autum 6
5 9. Properties of Discrete Siusoids - Alias As w, freq. of oscillatio, reaches maxi- u [t] = cos π t ), u [t] = cos π 7t ), T s = mum at w = π u ) = cos π 7 ) = cos π ) What if w > π? = cos π π ) ) π = cos = u ) w = w w = π w u ) = A cos w = A cos w u ) = A cos w = A cosπ w ) = A cos w = u ) coswt w is a alias of w t CL 69 Digital Cotrol, IIT Bombay 9 c Kaa M. Moudgalya, Autum 6. Fourier Series of Cotiuous Periodic Sigals xt) is periodic with a fudametal period T p = F It has a Fourier Series: xt) = C k e jπkf t Wat to calculate C k Multiply both sides by e jπlf t Itegrate from to + T p, T p = F t +T p xt)e jπlf t dt = = t +T p e jπlf t t +T p C k e jπk l)ft dt ) C k e jπkf t dt CL 69 Digital Cotrol, IIT Bombay c Kaa M. Moudgalya, Autum 6
6 . Fourier Series of Cotiuous Periodic Sigals t +T p t xt)e jπlft +T p dt = C k e jπk l)ft dt If k l, let = k l: Hece t +T p = C l T p +,k l C k e jπk l)f t jπk l)f +T p e jπf t +T p = e jπf +T p ) e jπf = e jπf e jπ ) = xt)e jπlf t dt = C l T p C l = t +T p xt)e jπlft dt = xt)e jπlft dt T p T p T p Sice, periodic. xt), C l : Fourier Series Pair CL 69 Digital Cotrol, IIT Bombay c Kaa M. Moudgalya, Autum 6. Fourier Trasform of Cotiuous Aperiodic Sigals Aperiodic o Fourier series If xt) = outside T p, T p ), Costruct a periodic sigal x p [t] with a period T p. lim Tp x p [t] = xt) x p [t] = C k e jπkft, F = T p C k = Tp T p T p x p [t]e jπkft dt As x p = x over oe period, C k = Tp T p T p xt)e jπkft dt As x vaishes outside oe period, C k = xt)e jπkft dt T p Defie Fourier Trasform of xt) as XF ) = xt)e jπf t dt XF ) is a fuctio of the cotiuous variable F. C k are samples of XF ). C k = T p X[kF ] = F X[kF ] CL 69 Digital Cotrol, IIT Bombay c Kaa M. Moudgalya, Autum 6
7 3. Fourier Trasform of Aperiodic Sigals - Cotiued x p [t] = C k e jπkf t XF ) = x p [t] = F xt)e jπf t dt X[kF ]e jπkf t F = = F T p x p [t] = X[k F ]e jπk F t F xt) = lim T p x p[t] = lim F = X[k F ]e jπk F t F XF )e jπf t df If we let radia frequecy Ω = πf xt) = π X[Ω] = X[Ω]e jωt dω, xt)e jωt dt xt), X[Ω] are Fourier Trasform Pair CL 69 Digital Cotrol, IIT Bombay 3 c Kaa M. Moudgalya, Autum 6 4. Frequecy Respose Discrete Time Fourier Trasform Apply u) = e jw to g) ad obtai output y: y) = g) u) = gk)u k) = = e jw gk)e jwk gk)e jw k) Defie Discrete Time Fourier Trasform Ge jw ) = gk)e jwk = = Gz) z=e jw Provided, absolute covergece: gk)e jwk < For causal systems, BIBO stability gk)z k z=e jw gk) < CL 69 Digital Cotrol, IIT Bombay 4 c Kaa M. Moudgalya, Autum 6
8 5. Frequecy Respose - Cotiued y) = e jw gk)e jwk = e jw Ge jw ) Write i polar coordiates: Ge jw ) = Ge jw ) e jϕ - ϕ is phase agle: y) = e jw Ge jw ) e jϕ = Ge jw ) e jw+ϕ). Iput is siusoid output also is a siusoid with followig properties: Output amplitude gets multiplied by the magitude of Ge jw ) Output siusoid shifts by ϕ with respect to iput. At ω where Ge jw ) is large, the siusoid gets amplified ad at ω where it is small, the siusoid gets atteuated. The system with large gais at low frequecies ad small gais at high frequecies are called low pass filters Similarly high pass filters CL 69 Digital Cotrol, IIT Bombay 5 c Kaa M. Moudgalya, Autum 6
Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform
Sigal Processig i Mechatroics Summer semester, 1 Lecture 3, Covolutio, Fourier Series ad Fourier rasform Dr. Zhu K.P. AIS, UM 1 1. Covolutio Covolutio Descriptio of LI Systems he mai premise is that the
More informationEE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course
Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL
More informationx[0] x[1] x[2] Figure 2.1 Graphical representation of a discrete-time signal.
x[ ] x[ ] x[] x[] x[] x[] 9 8 7 6 5 4 3 3 4 5 6 7 8 9 Figure. Graphical represetatio of a discrete-time sigal. From Discrete-Time Sigal Processig, e by Oppeheim, Schafer, ad Buck 999- Pretice Hall, Ic.
More informationAnalog and Digital Signals. Introduction to Digital Signal Processing. Discrete-time Sinusoids. Analog and Digital Signals
Itroductio to Digital Sigal Processig Chapter : Itroductio Aalog ad Digital Sigals aalog = cotiuous-time cotiuous amplitude digital = discrete-time discrete amplitude cotiuous amplitude discrete amplitude
More informationMathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1
Mathematical Descriptio of Discrete-Time Sigals 9/10/16 M. J. Roberts - All Rights Reserved 1 Samplig ad Discrete Time Samplig is the acquisitio of the values of a cotiuous-time sigal at discrete poits
More informationSignal Processing. Lecture 02: Discrete Time Signals and Systems. Ahmet Taha Koru, Ph. D. Yildiz Technical University.
Sigal Processig Lecture 02: Discrete Time Sigals ad Systems Ahmet Taha Koru, Ph. D. Yildiz Techical Uiversity 2017-2018 Fall ATK (YTU) Sigal Processig 2017-2018 Fall 1 / 51 Discrete Time Sigals Discrete
More informationGeneralizing the DTFT. The z Transform. Complex Exponential Excitation. The Transfer Function. Systems Described by Difference Equations
Geeraliig the DTFT The Trasform M. J. Roberts - All Rights Reserved. Edited by Dr. Robert Akl 1 The forward DTFT is defied by X e jω = x e jω i which = Ω is discrete-time radia frequecy, a real variable.
More informationSolution of EECS 315 Final Examination F09
Solutio of EECS 315 Fial Examiatio F9 1. Fid the umerical value of δ ( t + 4ramp( tdt. δ ( t + 4ramp( tdt. Fid the umerical sigal eergy of x E x = x[ ] = δ 3 = 11 = ( = ramp( ( 4 = ramp( 8 = 8 [ ] = (
More informationReview of Discrete-time Signals. ELEC 635 Prof. Siripong Potisuk
Review of Discrete-time Sigals ELEC 635 Prof. Siripog Potisuk 1 Discrete-time Sigals Discrete-time, cotiuous-valued amplitude (sampled-data sigal) Discrete-time, discrete-valued amplitude (digital sigal)
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004.
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departmet of Electrical Egieerig ad Computer Sciece 6.34 Discrete Time Sigal Processig Fall 24 BACKGROUND EXAM September 3, 24. Full Name: Note: This exam is closed
More informationOlli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5
Sigals ad Systems Sigals ad Systems Sigals are variables that carry iformatio Systemstake sigals as iputs ad produce sigals as outputs The course deals with the passage of sigals through systems T-6.4
More informationModule 18 Discrete Time Signals and Z-Transforms Objective: Introduction : Description: Discrete Time Signal representation
Module 8 Discrete Time Sigals ad Z-Trasforms Objective:To uderstad represetig discrete time sigals, apply z trasform for aalyzigdiscrete time sigals ad to uderstad the relatio to Fourier trasform Itroductio
More informationSolutions. Number of Problems: 4. None. Use only the prepared sheets for your solutions. Additional paper is available from the supervisors.
Quiz November 4th, 23 Sigals & Systems (5-575-) P. Reist & Prof. R. D Adrea Solutios Exam Duratio: 4 miutes Number of Problems: 4 Permitted aids: Noe. Use oly the prepared sheets for your solutios. Additioal
More informationFrequency Response of FIR Filters
EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we itroduce the idea of the frequecy respose of LTI systems, ad focus specifically o the frequecy respose of FIR filters.. Steady-state
More informationFIR Filter Design: Part II
EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak
More informationFinite-length Discrete Transforms. Chapter 5, Sections
Fiite-legth Discrete Trasforms Chapter 5, Sectios 5.2-50 5.0 Dr. Iyad djafar Outlie The Discrete Fourier Trasform (DFT) Matrix Represetatio of DFT Fiite-legth Sequeces Circular Covolutio DFT Symmetry Properties
More information6.003 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 informationSolutions - Homework # 1
ECE-4: Sigals ad Systems Summer Solutios - Homework # PROBLEM A cotiuous time sigal is show i the figure. Carefully sketch each of the followig sigals: x(t) a) x(t-) b) x(-t) c) x(t+) d) x( - t/) e) x(t)*(
More informationChapter 2 Systems and Signals
Chapter 2 Systems ad Sigals 1 Itroductio Discrete-Time Sigals: Sequeces Discrete-Time Systems Properties of Liear Time-Ivariat Systems Liear Costat-Coefficiet Differece Equatios Frequecy-Domai Represetatio
More information6.003 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 informationEE Midterm Test 1 - Solutions
EE35 - Midterm Test - Solutios Total Poits: 5+ 6 Bous Poits Time: hour. ( poits) Cosider the parallel itercoectio of the two causal systems, System ad System 2, show below. System x[] + y[] System 2 The
More informationWritten exam Digital Signal Processing for BMT (8E070). Tuesday November 1, 2011, 09:00 12:00.
Techische Uiversiteit Eidhove Fac. Biomedical Egieerig Writte exam Digital Sigal Processig for BMT (8E070). Tuesday November, 0, 09:00 :00. (oe page) ( problems) Problem. s Cosider a aalog filter with
More informationChapter 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 informationExam. Notes: A single A4 sheet of paper (double sided; hand-written or computer typed)
Exam February 8th, 8 Sigals & Systems (5-575-) Prof. R. D Adrea Exam Exam Duratio: 5 Mi Number of Problems: 5 Number of Poits: 5 Permitted aids: Importat: Notes: A sigle A sheet of paper (double sided;
More informationADVANCED DIGITAL SIGNAL PROCESSING
ADVANCED DIGITAL SIGNAL PROCESSING PROF. S. C. CHAN (email : sccha@eee.hku.hk, Rm. CYC-702) DISCRETE-TIME SIGNALS AND SYSTEMS MULTI-DIMENSIONAL SIGNALS AND SYSTEMS RANDOM PROCESSES AND APPLICATIONS ADAPTIVE
More information3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,
3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [
More informationM2.The Z-Transform and its Properties
M2.The Z-Trasform ad its Properties Readig Material: Page 94-126 of chapter 3 3/22/2011 I. Discrete-Time Sigals ad Systems 1 What did we talk about i MM1? MM1 - Discrete-Time Sigal ad System 3/22/2011
More informationExponential Moving Average Pieter P
Expoetial Movig Average Pieter P Differece equatio The Differece equatio of a expoetial movig average lter is very simple: y[] x[] + (1 )y[ 1] I this equatio, y[] is the curret output, y[ 1] is the previous
More informationELEG 4603/5173L Digital Signal Processing Ch. 1 Discrete-Time Signals and Systems
Departmet of Electrical Egieerig Uiversity of Arasas ELEG 4603/5173L Digital Sigal Processig Ch. 1 Discrete-Time Sigals ad Systems Dr. Jigxia Wu wuj@uar.edu OUTLINE 2 Classificatios of discrete-time sigals
More informationy[ n] = sin(2" # 3 # n) 50
Period of a Discrete Siusoid y[ ] si( ) 5 T5 samples y[ ] y[ + 5] si() si() [ ] si( 3 ) 5 y[ ] y[ + T] T?? samples [iteger] 5/3 iteger y irratioal frequecy ysi(pisqrt()/5) - - TextEd si( t) T sec cotiuous
More informationFall 2011, EE123 Digital Signal Processing
Lecture 5 Miki Lustig, UCB September 14, 211 Miki Lustig, UCB Motivatios for Discrete Fourier Trasform Sampled represetatio i time ad frequecy umerical Fourier aalysis requires a Fourier represetatio that
More informationThe 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 informationT Signal Processing Systems Exercise material for autumn Solutions start from Page 16.
T-6.40 P (Problems&olutios, autum 003) Page / 9 T-6.40 P (Problems&olutios, autum 003) Page / 9 T-6.40 igal Processig ystems Exercise material for autum 003 - olutios start from Page 6.. Basics of complex
More informationSignals & Systems Chapter3
Sigals & Systems Chapter3 1.2 Discrete-Time (D-T) Sigals Electroic systems do most of the processig of a sigal usig a computer. A computer ca t directly process a C-T sigal but istead eeds a stream of
More informationCh3 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 informationSinusoidal Steady-state Analysis
Siusoidal Steady-state Aalysis Complex umber reviews Phasors ad ordiary differetial equatios Complete respose ad siusoidal steady-state respose Cocepts of impedace ad admittace Siusoidal steady-state aalysis
More informationSignal Processing in Mechatronics
Sigal Processig i Mechatroics Zhu K.P. AIS, UM. Lecture, Brief itroductio to Sigals ad Systems, Review of Liear Algebra ad Sigal Processig Related Mathematics . Brief Itroductio to Sigals What is sigal
More information6.003: Signal Processing
6.003: Sigal Processig Discrete-Time Fourier Series orthogoality of harmoically related DT siusoids DT Fourier series relatios differeces betwee CT ad DT Fourier series properties of DT Fourier series
More informationLecture 3. Digital Signal Processing. Chapter 3. z-transforms. Mikael Swartling Nedelko Grbic Bengt Mandersson. rev. 2016
Lecture 3 Digital Sigal Processig Chapter 3 z-trasforms Mikael Swartlig Nedelko Grbic Begt Madersso rev. 06 Departmet of Electrical ad Iformatio Techology Lud Uiversity z-trasforms We defie the z-trasform
More informationELEG3503 Introduction to Digital Signal Processing
ELEG3503 Itroductio to Digital Sigal Processig 1 Itroductio 2 Basics of Sigals ad Systems 3 Fourier aalysis 4 Samplig 5 Liear time-ivariat (LTI) systems 6 z-trasform 7 System Aalysis 8 System Realizatio
More informationIntroduction to Digital Signal Processing
Fakultät Iformatik Istitut für Systemarchitektur Professur Recheretze Itroductio to Digital Sigal Processig Walteegus Dargie Walteegus Dargie TU Dresde Chair of Computer Networks I 45 Miutes Refereces
More information5.1. Periodic Signals: A signal f(t) is periodic iff for some T 0 > 0,
5. Periodic Sigals: A sigal f(t) is periodic iff for some >, f () t = f ( t + ) i t he smallest value that satisfies the above coditios is called the period of f(t). Cosider a sigal examied over to 5 secods
More informationDefinition of z-transform.
- Trasforms Frequecy domai represetatios of discretetime sigals ad LTI discrete-time systems are made possible with the use of DTFT. However ot all discrete-time sigals e.g. uit step sequece are guarateed
More informationIntroduction to Signals and Systems, Part V: Lecture Summary
EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive
More information2.004 Dynamics and Control II Spring 2008
MIT OpeCourseWare http://ocw.mit.edu 2.004 Dyamics ad Cotrol II Sprig 2008 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Massachusetts Istitute of Techology
More informationThe Z-Transform. (t-t 0 ) Figure 1: Simplified graph of an impulse function. For an impulse, it can be shown that (1)
The Z-Trasform Sampled Data The geeralied fuctio (t) (also kow as the impulse fuctio) is useful i the defiitio ad aalysis of sampled-data sigals. Figure below shows a simplified graph of a impulse. (t-t
More informationModule 2: z-transform and Discrete Systems
Module : -Trasform ad Discrete Systems Prof. Eliathamy Amikairajah ajah Dr. Tharmarajah Thiruvara School of Electrical Egieerig & Telecommuicatios The Uiversity of New South Wales Australia The -Trasform
More informationFIR Filter Design: Part I
EEL3: Discrete-Time Sigals ad Systems FIR Filter Desig: Part I. Itroductio FIR Filter Desig: Part I I this set o otes, we cotiue our exploratio o the requecy respose o FIR ilters. First, we cosider some
More information6.003 Homework #3 Solutions
6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the
More informationThe z-transform can be used to obtain compact transform-domain representations of signals and systems. It
3 4 5 6 7 8 9 10 CHAPTER 3 11 THE Z-TRANSFORM 31 INTRODUCTION The z-trasform ca be used to obtai compact trasform-domai represetatios of sigals ad systems It provides ituitio particularly i LTI system
More informationChapter 4 : Laplace Transform
4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic
More informationVibratory Motion. Prof. Zheng-yi Feng NCHU SWC. National CHung Hsing University, Department of Soil and Water Conservation
Vibratory Motio Prof. Zheg-yi Feg NCHU SWC 1 Types of vibratory motio Periodic motio Noperiodic motio See Fig. A1, p.58 Harmoic motio Periodic motio Trasiet motio impact Trasiet motio earthquake A powerful
More informationUniversity 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 informationDiscrete-Time Signals and Systems. Introduction to Digital Signal Processing. Independent Variable. What is a Signal? What is a System?
Discree-Time Sigals ad Sysems Iroducio o Digial Sigal Processig Professor Deepa Kudur Uiversiy of Toroo Referece: Secios. -.4 of Joh G. Proakis ad Dimiris G. Maolakis, Digial Sigal Processig: Priciples,
More informationChapter 8. DFT : The Discrete Fourier Transform
Chapter 8 DFT : The Discrete Fourier Trasform Roots of Uity Defiitio: A th root of uity is a complex umber x such that x The th roots of uity are: ω, ω,, ω - where ω e π /. Proof: (ω ) (e π / ) (e π )
More informationChapter 7 z-transform
Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time
More informationCOMM 602: Digital Signal Processing
COMM 60: Digital Sigal Processig Lecture 4 -Properties of LTIS Usig Z-Trasform -Iverse Z-Trasform Properties of LTIS Usig Z-Trasform Properties of LTIS Usig Z-Trasform -ve +ve Properties of LTIS Usig Z-Trasform
More informationChapter 2. Simulation Techniques. References:
Simulatio Techiques Refereces: Chapter 2 S.M.Kay, Fudametals of Statistical Sigal Processig: Estimatio Theory, Pretice Hall, 993 C.L.Nikias ad M.Shao, Sigal Processig with Alpha-Stable Distributio ad Applicatios,
More information6.003: Signals and Systems. Feedback, Poles, and Fundamental Modes
6.003: Sigals ad Systems Feedback, Poles, ad Fudametal Modes February 9, 2010 Last Time: Multiple Represetatios of DT Systems Verbal descriptios: preserve the ratioale. To reduce the umber of bits eeded
More informationECE 301: Signals and Systems Homework Assignment #4
ECE 301: Sigals ad Systems Homework Assigmet #4 Due o October 28, 2015 Professor: Aly El Gamal TA: Xiaglu Mao 1 Aly El Gamal ECE 301: Sigals ad Systems Homework Assigmet #4 Problem 1 Problem 1 Let x[]
More informationDynamic Response of Linear Systems
Dyamic Respose of Liear Systems Liear System Respose Superpositio Priciple Resposes to Specific Iputs Dyamic Respose of st Order Systems Characteristic Equatio - Free Respose Stable st Order System Respose
More informationEE123 Digital Signal Processing
Discrete Time Sigals Samples of a CT sigal: EE123 Digital Sigal Processig x[] =X a (T ) =1, 2, x[0] x[2] x[1] X a (t) T 2T 3T t Lecture 2 Or, iheretly discrete (Examples?) 1 2 Basic Sequeces Uit Impulse
More informationZ - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals.
Z - Trasform The -trasform is a very importat tool i describig ad aalyig digital systems. It offers the techiques for digital filter desig ad frequecy aalysis of digital sigals. Defiitio of -trasform:
More informationMAT 271 Project: Partial Fractions for certain rational functions
MAT 7 Project: Partial Fractios for certai ratioal fuctios Prerequisite kowledge: partial fractios from MAT 7, a very good commad of factorig ad complex umbers from Precalculus. To complete this project,
More informationDescribing Function: An Approximate Analysis Method
Describig Fuctio: A Approximate Aalysis Method his chapter presets a method for approximately aalyzig oliear dyamical systems A closed-form aalytical solutio of a oliear dyamical system (eg, a oliear differetial
More informationJitter Transfer Functions For The Reference Clock Jitter In A Serial Link: Theory And Applications
Jitter Trasfer Fuctios For The Referece Clock Jitter I A Serial Lik: Theory Ad Applicatios Mike Li, Wavecrest Ady Martwick, Itel Gerry Talbot, AMD Ja Wilstrup, Teradye Purposes Uderstad various jitter
More information2D DSP Basics: 2D Systems
- Digital Image Processig ad Compressio D DSP Basics: D Systems D Systems T[ ] y = T [ ] Liearity Additivity: If T y = T [ ] The + T y = y + y Homogeeity: If The T y = T [ ] a T y = ay = at [ ] Liearity
More informationThe natural exponential function
The atural expoetial fuctio Attila Máté Brookly College of the City Uiversity of New York December, 205 Cotets The atural expoetial fuctio for real x. Beroulli s iequality.....................................2
More informationEE123 Digital Signal Processing
Today EE123 Digital Sigal Processig Lecture 2 Last time: Admiistratio Overview Today: Aother demo Ch. 2 - Discrete-Time Sigals ad Systems 1 2 Discrete Time Sigals Samples of a CT sigal: x[] =X a (T ) =1,
More informationMEM 255 Introduction to Control Systems: Analyzing Dynamic Response
MEM 55 Itroductio to Cotrol Systems: Aalyzig Dyamic Respose Harry G. Kwaty Departmet of Mechaical Egieerig & Mechaics Drexel Uiversity Outlie Time domai ad frequecy domai A secod order system Via partial
More informationMechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter
Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,
More informationDiscrete-Time Signals and Systems. Signals and Systems. Digital Signals. Discrete-Time Signals. Operations on Sequences: Basic Operations
-6.3 Digital Sigal Processig ad Filterig..8 Discrete-ime Sigals ad Systems ime-domai Represetatios of Discrete-ime Sigals ad Systems ime-domai represetatio of a discrete-time sigal as a sequece of umbers
More informationDiscrete-time signals and systems See Oppenheim and Schafer, Second Edition pages 8 93, or First Edition pages 8 79.
Discrete-time sigals ad systems See Oppeheim ad Schafer, Secod Editio pages 93, or First Editio pages 79. Discrete-time sigals A discrete-time sigal is represeted as a sequece of umbers: x D fxœg; <
More informationRay Optics Theory and Mode Theory. Dr. Mohammad Faisal Dept. of EEE, BUET
Ray Optics Theory ad Mode Theory Dr. Mohammad Faisal Dept. of, BUT Optical Fiber WG For light to be trasmitted through fiber core, i.e., for total iteral reflectio i medium, > Ray Theory Trasmissio Ray
More informationAppendix: The Laplace Transform
Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio
More informationPractical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement
Practical Spectral Aaysis (cotiue) (from Boaz Porat s book) Frequecy Measuremet Oe of the most importat applicatios of the DFT is the measuremet of frequecies of periodic sigals (eg., siusoidal sigals),
More information62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +
62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of
More informationFrequency Domain Filtering
Frequecy Domai Filterig Raga Rodrigo October 19, 2010 Outlie Cotets 1 Itroductio 1 2 Fourier Represetatio of Fiite-Duratio Sequeces: The Discrete Fourier Trasform 1 3 The 2-D Discrete Fourier Trasform
More informationMATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and
MATH01 Real Aalysis (2008 Fall) Tutorial Note #7 Sequece ad Series of fuctio 1: Poitwise Covergece ad Uiform Covergece Part I: Poitwise Covergece Defiitio of poitwise covergece: A sequece of fuctios f
More informationA system that is both linear and time-invariant is called linear time-invariant (LTI).
The Cooper Union Department of Electrical Engineering ECE111 Signal Processing & Systems Analysis Lecture Notes: Time, Frequency & Transform Domains February 28, 2012 Signals & Systems Signals are mapped
More informationFourier Series and their Applications
Fourier Series ad their Applicatios The fuctios, cos x, si x, cos x, si x, are orthogoal over (, ). m cos mx cos xdx = m = m = = cos mx si xdx = for all m, { m si mx si xdx = m = I fact the fuctios satisfy
More informationLinear time invariant systems
Liear time ivariat systems Alejadro Ribeiro Dept. of Electrical ad Systems Egieerig Uiversity of Pesylvaia aribeiro@seas.upe.edu http://www.seas.upe.edu/users/~aribeiro/ February 25, 2016 Sigal ad Iformatio
More informationMassachusetts Institute of Technology Department of Electrical Engineering and Computer Science. Fall Problem Set 11 Solutions.
Massachusetts Istitute of Techology Departmet of Electrical Egieerig ad Computer Sciece Issued: Thursday, December 8, 005 6.341: Discrete-Time Sigal Processig Fall 005 Problem Set 11 Solutios Problem 11.1
More informationMa 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5
Ma 42: Itroductio to Lebesgue Itegratio Solutios to Homework Assigmet 5 Prof. Wickerhauser Due Thursday, April th, 23 Please retur your solutios to the istructor by the ed of class o the due date. You
More informationLecture 19: Convergence
Lecture 19: Covergece Asymptotic approach I statistical aalysis or iferece, a key to the success of fidig a good procedure is beig able to fid some momets ad/or distributios of various statistics. I may
More informationSolutions of Chapter 5 Part 1/2
Page 1 of 8 Solutios of Chapter 5 Part 1/2 Problem 5.1-1 Usig the defiitio, compute the -trasform of x[] ( 1) (u[] u[ 8]). Sketch the poles ad eros of X[] i the plae. Solutio: Accordig to the defiitio,
More informationChapter 15: Fourier Series
Chapter 5: Fourier Series Ex. 5.3- Ex. 5.3- Ex. 5.- f(t) K is a Fourier Series. he coefficiets are a K; a b for. f(t) AcosZ t is a Fourier Series. a A ad all other coefficiets are zero. Set origi at t,
More informationWarped, Chirp Z-Transform: Radar Signal Processing
arped, Chirp Z-Trasform: Radar Sigal Processig by Garimella Ramamurthy Report o: IIIT/TR// Cetre for Commuicatios Iteratioal Istitute of Iformatio Techology Hyderabad - 5 3, IDIA Jauary ARPED, CHIRP Z
More informationFig. 2. Block Diagram of a DCS
Iformatio source Optioal Essetial From other sources Spread code ge. Format A/D Source ecode Ecrypt Auth. Chael ecode Pulse modu. Multiplex Badpass modu. Spread spectrum modu. X M m i Digital iput Digital
More information4. Partial Sums and the Central Limit Theorem
1 of 10 7/16/2009 6:05 AM Virtual Laboratories > 6. Radom Samples > 1 2 3 4 5 6 7 4. Partial Sums ad the Cetral Limit Theorem The cetral limit theorem ad the law of large umbers are the two fudametal theorems
More informationDigital Signal Processing
Digital Sigal Processig Z-trasform dftwave -Trasform Backgroud-Defiitio - Fourier trasform j ω j ω e x e extracts the essece of x but is limited i the sese that it ca hadle stable systems oly. jω e coverges
More informationSchool of Mechanical Engineering Purdue University. ME375 Frequency Response - 1
Case Study ME375 Frequecy Respose - Case Study SUPPORT POWER WIRE DROPPERS Electric trai derives power through a patograph, which cotacts the power wire, which is suspeded from a cateary. Durig high-speed
More informationSignals and Systems. Problem Set: From Continuous-Time to Discrete-Time
Sigals ad Systems Problem Set: From Cotiuous-Time to Discrete-Time Updated: October 5, 2017 Problem Set Problem 1 - Liearity ad Time-Ivariace Cosider the followig systems ad determie whether liearity ad
More informationMAXIMALLY FLAT FIR FILTERS
MAXIMALLY FLAT FIR FILTERS This sectio describes a family of maximally flat symmetric FIR filters first itroduced by Herrma [2]. The desig of these filters is particularly simple due to the availability
More informationSpring 2014, EE123 Digital Signal Processing
Aoucemets EE3 Digital Sigal Processig Last time: FF oday: Frequecy aalysis with DF Widowig Effect of zero-paddig Lecture 9 based o slides by J.M. Kah Spectral Aalysis with the DF Spectral Aalysis with
More informationUniversity 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 informationDigital signal processing: Lecture 5. z-transformation - I. Produced by Qiangfu Zhao (Since 1995), All rights reserved
Digital sigal processig: Lecture 5 -trasformatio - I Produced by Qiagfu Zhao Sice 995, All rights reserved DSP-Lec5/ Review of last lecture Fourier trasform & iverse Fourier trasform: Time domai & Frequecy
More informationChapter 3. z-transform
Chapter 3 -Trasform 3.0 Itroductio The -Trasform has the same role as that played by the Laplace Trasform i the cotiuous-time theorem. It is a liear operator that is useful for aalyig LTI systems such
More informationChapter 8. Euler s Gamma function
Chapter 8 Euler s Gamma fuctio The Gamma fuctio plays a importat role i the fuctioal equatio for ζ(s) that we will derive i the ext chapter. I the preset chapter we have collected some properties of the
More informationIn this section, we show how to use the integral test to decide whether a series
Itegral Test Itegral Test Example Itegral Test Example p-series Compariso Test Example Example 2 Example 3 Example 4 Example 5 Exa Itegral Test I this sectio, we show how to use the itegral test to decide
More information