Digital Signal Processing, Fall 2010
|
|
- Delilah Hutchinson
- 5 years ago
- Views:
Transcription
1 Digital Sigal Proeig, Fall 2 Leture 3: Samplig ad reotrutio, traform aalyi of LTI ytem tem Zheg-ua Ta Departmet of Eletroi Sytem Aalborg Uiverity, Demar t@e.aau.d Coure at a glae MM Direte-time igal ad ytem Sytem MM2 Fourier traform ad Z-traform Samplig ad reotrutio Sytem aalyi DFT/FFT MM5 MM3 Filter deig MM4 2
2 Part I-A: Periodi amplig Part I: amplig ad reotrutio Periodi amplig Frequey domai repreetatio of the amplig Reotrutio Part II: ytem aalyi 3 Periodi amplig From otiuou-time x t to direte-time x[] x[ ] x T, Samplig period Samplig frequey T f / T 2 / T 4 2
3 Two tage I pratie? Mathematially t Impule trai modulator Coverio of the impule trai to a equee x t x t t x t t T t T x T t T x[ ] x T, x t x t d 5 Periodi amplig Tow-tage repreetatio Stritly a mathematial repreetatio that i oveiet for gaiig iight ito amplig i both the time ad frequey domai. Phyial implemetatio i differet. x t a otiuou-time igal, a impule trai, ero exept at T x[] a direte-time equee, time ormaliatio, o expliit iformatio about amplig rate May-to-may i geeral ot ivertible 6 3
4 4 Part I-B: Freq. domai repreet. Part I: amplig ad reotrutio Periodi amplig F d i i f h li Frequey domai repreetatio of the amplig Reotrutio Part II: ytem aalyi 7 Frequey-domai repreetatio From x t to x t T S T t t 2 The Fourier traform of a periodi impule trai i a periodi impule trai. T t T x T T t t x S t t x t x T * 2? 8 The Fourier traform of x t oit of periodi repetitio of the Fourier traform of x t.
5 5 Frequey-domai T T S or Reovery r r Ideal lowpa filter with gai T ad utoff frequey r
6 Aliaig ditortio Due to the overlap amog the opie of, due to 2 ot reoverable by lowpa filterig Aliaig a example x t o t a a. T b. a.2 x r t o t b.2 2 xr t o t 6
7 yquit amplig theorem Give badlimited igal The If 2, for t x with i uiquely determied by it ample x t x[ ] x T, 2 2 T i alled yquit frequey i alled yquit rate 3 Fourier traform of x[] From t to x[ ] x x x t T t T x[ ] x T, From to e By taig otiuou-time Fourier traform of x t x T e T t x t e dt By taig direte-time Fourier traform of x[] e x[ ] e T e e T 4 7
8 Fourier traform of x[] T From Slide 4, e T e From Slide 8, T So, e T T T 2 2 T T T T T i.e. e i imply pya frequey-aled verio of with T x t retai a paig betwee ample equal to the amplig period T while x[] alway ha uity pae. 5 Samplig ad reotrutio of Si Sigal x t o4t T / / T 2 o aliaig x [ ] x T o4 T o2 / 3 o x t 4 4 T e / T with ormalied frequey T / T ow about x t o6t 6 8
9 Part I-C: Reotrutio Part I: amplig ad reotrutio Periodi amplig Frequey domai repreetatio of the amplig Reotrutio Part II: ytem aalyi 7 Requiremet for reotrutio O the bai of the amplig theorem, ample repreet the igal exatly whe: Badlimited it d igal Eough amplig frequey + owledge of the amplig period reover the igal 8 9
10 Reotrutio tep 2 Give x[] ad T, the impule trai i t x T t T x [ ] t T x i.e. the th ample i aoiated with the impule at t=t. The impule trai i filtered by a ideal lowpa CT filter with impule repoe h r t x t x h t T r r r r r e T 9 Ideal lowpa filter Commoly hooe utoff frequy a / / 2 T i t / T h r t t / T 2
11 Ideal lowpa filter iterpolatio CT igal Modulated impule trai x t r i t T / T x[ ] t T / T 2 Ideal direte-to-otiuou-time overter 22
12 direte-to-otiuou-time overter Pratial DAC do ot output a equee of dira impule that, if ideally low-pa filtered, reult i the origial igal before amplig but itead output a equee of pieewie otat value or retagular pule Ideally ampled igal. From Pieewie otat igal typial of a pratial DAC output. 23 Appliatio 24 2
13 Part II Sytem aalyi Part I: amplig ad reotrutio Part II: ytem aalyi Frequey repoe Sytem futio All-pa ytem Miimum-phae ytem Liear ytem with geeralied liear phae 25 Sytem aalyi Three domai Time domai: impule repoe, ovolutio um y [ ] x[ ]* h[ ] x[ ] h[ ] Frequey domai: frequey repoe Y e e e -traform: ytem futio Y LTI ytem i ompleted harateried by 26 3
14 Part II-A: Frequey repoe Part I: amplig ad reotrutio Part II: ytem aalyi Frequey repoe Sytem futio All-pa ytem Miimum-phae ytem Liear ytem with geeralied liear phae 27 Frequey repoe Relatiohip btw Fourier traform of iput ad output Y e e e I polar form Magitude magitude repoe, gai, ditortio Y e e e Phae phae repoe, phae hift, ditortio Y e e e 28 4
15 Ideal lowpa filter a example Frequey repoe,, e, Frequey eletive filter Impule repoe i h [ ], lp h[ ], oaual, aot be implemeted! ow to mae a oaual ytem aual? I geeral, ay oaual FIR ytem a be made aual by aadig it with a uffiietly log delay! But ideal lowpa filter i a IIR ytem!? 29 Phae ditortio ad delay Ideal delay ytem h id [ ] [ d ] Delay ditortio id e e d id e e, id d Ideal lowpa filter with liear phae 3 lp e e, d i d hlp [ ], d,, Liear phae ditortio Ideal lowpa filter i alway oaual! 5
16 Group delay A meaure of the liearity of the phae Coerig the phae ditortio o a arrowbad igal x[ ] [ ]o w For thi iput with petrum oly aroud w, phae effet a be approximated aroud w a the liear approximatio though i reality maybe oliear e d ad the output i approximately y ] e [ ]o Group delay 3 [ d d grd[ e d ] {arg[ e d ]} A example of group delay Figure 5., 5.2,
17 A example of group delay 33 Part II-B: Sytem futio Part I: amplig ad reotrutio Part II: ytem aalyi Frequey repoe Sytem futio All-pa ytem Miimum-phae ytem Liear ytem with geeralied liear phae 34 7
18 8 Sytem futio of LCCDE ytem Liear otat-oeffiiet differee equatio M m m x b y a ] [ ] [ -traform format M m m b m Y M m m m b Y a m 35 M m m d a b a m m d d pole at a ero at a i the deomiator pole at a ero at a i the umerator Stability ad auality Stable h[] abolutely ummable h ROC i l di h i i l ha a ROC iludig the uit irle Caual h[] right ide equee ha a ROC beig outide the outermot pole 36
19 9 Ivere ytem May ytem have ivere, peially ytem with ratioal ytem futio M ] [ ] [ ]* [ ] [ h h g G i i i M i m m d b a d a b 37 Pole beome ero ad vie vera. ROC: mut have overlap btw the two for the ae of G. m m Example 9 9.9,.9.5 So, i ] [.9.5 ] [.5 ] [.5 u u h i 38
20 Part II-C: All-pa ytem Part I: amplig ad reotrutio Part II: ytem aalyi Frequey repoe Sytem futio All-pa ytem Miimum-phae ytem Liear ytem with geeralied liear phae 39 All-pa ytem Coider the followig table ytem futio * a ap a ap e * e a ae * a e e ae ap e all-pa ytem: for whih h the frequey repoe magitude i a otat. 4 2
21 Example: Firt-order all-pa ytem P275 Example Part II-D: Miimum-phae ytem Part I: amplig ad reotrutio Part II: ytem aalyi Frequey repoe Sytem futio All-pa ytem Miimum-phae ytem Liear ytem with geeralied liear phae 42 2
22 Miimum-phae ytem Magitude doe ot uiquely haraterie the ytem Stable ad aual pole iide id uit irle, o retritio o ero Zero are alo iide uit irle ivere ytem i alo table ad aual i may ituatio, we eed ivere ytem! uh ytem are alled miimum-phae ytem explaatio to follow: are table ad aual ad have table ad aual ivere 43 Miimum-phae ad all-pa deompoitio Ay ratioal ytem futio a be expreed a: mi ap Suppoe ha oe ero outide the uit irle at / *, * * miimum-phae all-pa 44 22
23 Frequey repoe ompeatio Whe the ditortio ytem i ot miimum-phae ytem: d d mi ap mi d G d ap Frequey repoe magitude i ompeated Phae repoe i the phae of the all-pa 45 Propertie of miimum-phae ytem From miimum-phae ad all-pa deompoitio mi arg[ e ap ] arg[ mi ] arg[ From the previou figure, the otiuou-phae urve of a all-pa ytem i egative for So hage from miimum-phae to o-miimum- phae +all-pa phae alway dereae the otiuou phae or ireae the egative of the phae alled the phae-lag futio. Miimumphae i more preiely alled miimum phae-lag ytem 46 e ap e ] 23
24 Part II-E: GLP ytem Part I: amplig ad reotrutio Part II: ytem aalyi Frequey repoe Sytem futio All-pa ytem Miimum-phae ytem Liear ytem with geeralied liear phae 47 Deig a ytem with o-ero phae Sytem deig ometime deire Cotat frequey repoe magitude Zero phae, whe ot poible aept phae ditortio, i partiular liear phae ie it oly itrodue time hift oliear phae will hage the hape of the iput igal though havig otat magitude repoe 48 24
25 Ideal delay id e id e e, id e grd[ id e, ] i h id [ ] whe d h id [ ] [ d ] Ideal lowpa with liear phae i d hlp[ ] d 49 Geeralied liear phae Liear phae filter e e e Geeralied liear phae filter e A e A e e i a real futio of, ad are real otat 5 25
26 Summary Part I: amplig ad reotrutio Periodi amplig Frequey domai repreetatio Reotrutio Part II: ytem aalyi Frequey repoe Sytem futio All-pa ytem Miimum-phae ytem Liear ytem with geeralied liear phae 5 Coure at a glae MM Direte-time igal ad ytem Sytem MM2 Fourier traform ad Z-traform Samplig ad reotrutio Sytem aalyi MM3 Filter deig DFT/FFT MM5 MM
Professor: Mihnea UDREA DIGITAL SIGNAL PROCESSING. Grading: Web: MOODLE. 1. Introduction. General information
Geeral iformatio DIGITL SIGL PROCESSIG Profeor: ihea UDRE B29 mihea@comm.pub.ro Gradig: Laboratory: 5% Proect: 5% Tet: 2% ial exam : 5% Coure quiz: ±% Web: www.electroica.pub.ro OODLE 2 alog igal proceig
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 30 Sigal & Sytem Prof. Mark Fowler Note Set #8 C-T Sytem: Laplace Traform Solvig Differetial Equatio Readig Aigmet: Sectio 6.4 of Kame ad Heck / Coure Flow Diagram The arrow here how coceptual flow
More informationLecture 30: Frequency Response of Second-Order Systems
Lecture 3: Frequecy Repoe of Secod-Order Sytem UHTXHQF\ 5HVSRQVH RI 6HFRQGUGHU 6\VWHPV A geeral ecod-order ytem ha a trafer fuctio of the form b + b + b H (. (9.4 a + a + a It ca be table, utable, caual
More informationState space systems analysis
State pace ytem aalyi Repreetatio of a ytem i tate-pace (tate-pace model of a ytem To itroduce the tate pace formalim let u tart with a eample i which the ytem i dicuio i a imple electrical circuit with
More informationDigital 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 informationFIR Digital Filter Design.
FIR Digital Filter Deig. Ulike IIR, FIR Caual Digital Filter are iheretly table. (All ole at the origi i uit irle) Ulike IIR, exat liear hae deig i oible with FIR Filter (rovided imule reoe i either ymmetry
More informationELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University
ELEC 37 LECTURE NOTES, WEE 4 Dr Amir G Aghdam Cocordia Uiverity Part of thee ote are adapted from the material i the followig referece: Moder Cotrol Sytem by Richard C Dorf ad Robert H Bihop, Pretice Hall
More informationECEN620: Network Theory Broadband Circuit Design Fall 2014
ECE60: etwork Theory Broadbad Circuit Deig Fall 04 Lecture 3: PLL Aalyi Sam Palermo Aalog & Mixed-Sigal Ceter Texa A&M Uiverity Ageda & Readig PLL Overview & Applicatio PLL Liear Model Phae & Frequecy
More informationStanford University EE 102B: Signal Processing and Linear Systems II Spring , Professor Andrea Goldsmith EE102B Course Reader
Staford Uiverity EE B: Sigal Proeig ad Liear Sytem II Sprig 7-8, Profeor Adrea Goldmith EEB Coure Reader By Profeor Joeph Kah Staford Uiverity EE B: Sigal Proeig ad Liear Sytem II Profeor Joeph M Kah Table
More informationBrief Review of Linear System Theory
Brief Review of Liear Sytem heory he followig iformatio i typically covered i a coure o liear ytem theory. At ISU, EE 577 i oe uch coure ad i highly recommeded for power ytem egieerig tudet. We have developed
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 informationMath 213b (Spring 2005) Yum-Tong Siu 1. Explicit Formula for Logarithmic Derivative of Riemann Zeta Function
Math 3b Sprig 005 Yum-og Siu Expliit Formula for Logarithmi Derivative of Riema Zeta Futio he expliit formula for the logarithmi derivative of the Riema zeta futio i the appliatio to it of the Perro formula
More informationErick L. Oberstar Fall 2001 Project: Sidelobe Canceller & GSC 1. Advanced Digital Signal Processing Sidelobe Canceller (Beam Former)
Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC 1 Advaced Digital Sigal Proceig Sidelobe Caceller (Beam Former) Erick L. Obertar 001 Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC
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 informationCONTROL SYSTEMS. Chapter 7 : Bode Plot. 40dB/dec 1.0. db/dec so resultant slope will be 20 db/dec and this is due to the factor s
CONTROL SYSTEMS Chapter 7 : Bode Plot GATE Objective & Numerical Type Solutio Quetio 6 [Practice Book] [GATE EE 999 IIT-Bombay : 5 Mark] The aymptotic Bode plot of the miimum phae ope-loop trafer fuctio
More informationAutomatic Control Systems
Automatic Cotrol Sytem Lecture-5 Time Domai Aalyi of Orer Sytem Emam Fathy Departmet of Electrical a Cotrol Egieerig email: emfmz@yahoo.com Itrouctio Compare to the implicity of a firt-orer ytem, a eco-orer
More informationLast time: Completed solution to the optimum linear filter in real-time operation
6.3 tochatic Etimatio ad Cotrol, Fall 4 ecture at time: Completed olutio to the oimum liear filter i real-time operatio emi-free cofiguratio: t D( p) F( p) i( p) dte dp e π F( ) F( ) ( ) F( p) ( p) 4444443
More informationIntroduction to Control Systems
Itroductio to Cotrol Sytem CLASSIFICATION OF MATHEMATICAL MODELS Icreaig Eae of Aalyi Static Icreaig Realim Dyamic Determiitic Stochatic Lumped Parameter Ditributed Parameter Liear Noliear Cotat Coefficiet
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 informationLast time: Ground rules for filtering and control system design
6.3 Stochatic Etimatio ad Cotrol, Fall 004 Lecture 7 Lat time: Groud rule for filterig ad cotrol ytem deig Gral ytem Sytem parameter are cotaied i w( t ad w ( t. Deired output i grated by takig the igal
More informationSystem Control. Lesson #19a. BME 333 Biomedical Signals and Systems - J.Schesser
Sytem Cotrol Leo #9a 76 Sytem Cotrol Baic roblem Say you have a ytem which you ca ot alter but it repoe i ot optimal Example Motor cotrol for exokeleto Robotic cotrol roblem that ca occur Utable Traiet
More informationComputing the output response of LTI Systems.
Computig the output respose of LTI Systems. By breaig or decomposig ad represetig the iput sigal to the LTI system ito terms of a liear combiatio of a set of basic sigals. Usig the superpositio property
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 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 informationCONTROL ENGINEERING LABORATORY
Uiverity of Techology Departmet of Electrical Egieerig Cotrol Egieerig Lab. CONTROL ENGINEERING LABORATORY By Dr. Abdul. Rh. Humed M.Sc. Quay Salim Tawfeeq M.Sc. Nihad Mohammed Amee M.Sc. Waleed H. Habeeb
More informationBio-Systems Modeling and Control
Bio-Sytem Modelig ad otrol Leture Ezyme ooperatio i Ezyme Dr. Zvi Roth FAU Ezyme with Multiple Bidig Site May ezyme have more tha oe bidig ite for ubtrate moleule. Example: Hemoglobi Hb, the oxygearryig
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 informationCOMM 602: Digital Signal Processing. Lecture 8. Digital Filter Design
COMM 60: Digital Signal Proeing Leture 8 Digital Filter Deign Remember: Filter Type Filter Band Pratial Filter peifiation Pratial Filter peifiation H ellipti H Pratial Filter peifiation p p IIR Filter
More informationu t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall
Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace
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 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 informationEE 508 Lecture 6. Dead Networks Scaling, Normalization and Transformations
EE 508 Lecture 6 Dead Network Scalig, Normalizatio ad Traformatio Filter Cocept ad Termiology 2-d order polyomial characterizatio Biquadratic Factorizatio Op Amp Modelig Stability ad Itability Roll-off
More informationThe Performance of Feedback Control Systems
The Performace of Feedbac Cotrol Sytem Objective:. Secify the meaure of erformace time-domai the firt te i the deig roce Percet overhoot / Settlig time T / Time to rie / Steady-tate error e. ut igal uch
More informationFig. 1: Streamline coordinates
1 Equatio of Motio i Streamlie Coordiate Ai A. Soi, MIT 2.25 Advaced Fluid Mechaic Euler equatio expree the relatiohip betwee the velocity ad the preure field i ivicid flow. Writte i term of treamlie coordiate,
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 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 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 informationChap.4 Ray Theory. The Ray theory equations. Plane wave of homogeneous medium
The Ra theor equatio Plae wave of homogeeou medium Chap.4 Ra Theor A plae wave ha the dititive propert that it tregth ad diretio of propagatio do ot var a it propagate through a homogeeou medium p vae
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 informationHigh-Speed Serial Interface Circuits and Systems. Lect. 4 Phase-Locked Loop (PLL) Type 1 (Chap. 8 in Razavi)
High-Speed Serial Iterface Circuit ad Sytem Lect. 4 Phae-Locked Loop (PLL) Type 1 (Chap. 8 i Razavi) PLL Phae lockig loop A (egative-feedback) cotrol ytem that geerate a output igal whoe phae (ad frequecy)
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 informationDorf, R.C., Wan, Z., Johnson, D.E. Laplace Transform The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000
Dorf, R.C., Wa, Z., Joho, D.E. Laplace Traform The Electrical Egieerig Hadbook Ed. Richard C. Dorf Boca Rato: CRC Pre LLC, 6 Laplace Traform Richard C. Dorf Uiverity of Califoria, Davi Zhe Wa Uiverity
More informationThe 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 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 informationREVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION
REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I liear regreio, we coider the frequecy ditributio of oe variable (Y) at each of everal level of a ecod variable (X). Y i kow a the depedet variable.
More informationLecture 8. Dirac and Weierstrass
Leture 8. Dira ad Weierstrass Audrey Terras May 5, 9 A New Kid of Produt of Futios You are familiar with the poitwise produt of futios de ed by f g(x) f(x) g(x): You just tae the produt of the real umbers
More informationPerformance-Based Plastic Design (PBPD) Procedure
Performace-Baed Platic Deig (PBPD) Procedure 3. Geeral A outlie of the tep-by-tep, Performace-Baed Platic Deig (PBPD) procedure follow, with detail to be dicued i ubequet ectio i thi chapter ad theoretical
More informationECM Control Engineering Dr Mustafa M Aziz (2013) SYSTEM RESPONSE
ECM5 - Cotrol Egieerig Dr Mutafa M Aziz (3) SYSTEM RESPONSE. Itroductio. Repoe Aalyi of Firt-Order Sytem 3. Secod-Order Sytem 4. Siuoidal Repoe of the Sytem 5. Bode Diagram 6. Baic Fact About Egieerig
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 informationELEC 372 LECTURE NOTES, WEEK 1 Dr. Amir G. Aghdam Concordia University
EEC 37 ECTURE NOTES, WEEK Dr Amir G Aghdam Cocordia Uiverity Part of thee ote are adapted from the material i the followig referece: Moder Cotrol Sytem by Richard C Dorf ad Robert H Bihop, Pretice Hall
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 informationLecture 11. Course Review. (The Big Picture) G. Hovland Input-Output Limitations (Skogestad Ch. 3) Discrete. Time Domain
MER4 Advaced Cotrol Lecture Coure Review (he ig Picture MER4 ADVANCED CONROL EMEER, 4 G. Hovlad 4 Mai heme of MER4 Frequecy Domai Aalyi (Nie Chapter Phae ad Gai Margi Iput-Output Limitatio (kogetad Ch.
More informationHeat Equation: Maximum Principles
Heat Equatio: Maximum Priciple Nov. 9, 0 I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace
More informationSignal 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 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 information1it is said to be overdamped. When 1, the roots of
Homework 3 AERE573 Fall 8 Due /8(M) SOLUTIO PROBLEM (4pt) Coider a D order uderdamped tem trafer fuctio H( ) ratio The deomiator i the tem characteritic polomial P( ) (a)(5pt) Ue the quadratic formula,
More informationSTRONG DEVIATION THEOREMS FOR THE SEQUENCE OF CONTINUOUS RANDOM VARIABLES AND THE APPROACH OF LAPLACE TRANSFORM
Joural of Statitic: Advace i Theory ad Applicatio Volume, Number, 9, Page 35-47 STRONG DEVIATION THEORES FOR THE SEQUENCE OF CONTINUOUS RANDO VARIABLES AND THE APPROACH OF LAPLACE TRANSFOR School of athematic
More informationDIGITAL SIGNAL PROCESSING LECTURE 3
DIGITAL SIGNAL PROCESSING LECTURE 3 Fall 2 2K8-5 th Semester Tahir Muhammad tmuhammad_7@yahoo.com Cotet ad Figures are from Discrete-Time Sigal Processig, 2e by Oppeheim, Shafer, ad Buc, 999-2 Pretice
More informationLECTURE 13 SIMULTANEOUS EQUATIONS
NOVEMBER 5, 26 Demad-upply ytem LETURE 3 SIMULTNEOUS EQUTIONS I thi lecture, we dicu edogeeity problem that arie due to imultaeity, i.e. the left-had ide variable ad ome of the right-had ide variable are
More informationQuestion1 Multiple choices (circle the most appropriate one):
Philadelphia Uiversity Studet Name: Faculty of Egieerig Studet Number: Dept. of Computer Egieerig Fial Exam, First Semester: 2014/2015 Course Title: Digital Sigal Aalysis ad Processig Date: 01/02/2015
More informationSampling and the Discrete Fourier Transform
Sampling and the Dicrete Fourier Tranform Sampling Method Sampling i mot commonly done with two device, the ample-and-hold (S/H) and the analog-to-digital-converter (ADC) The S/H acquire a CT ignal at
More informationObserver Design with Reduced Measurement Information
Observer Desig with Redued Measuremet Iformatio I pratie all the states aot be measured so that SVF aot be used Istead oly a redued set of measuremets give by y = x + Du p is available where y( R We assume
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 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 informationTime Response. First Order Systems. Time Constant, T c We call 1/a the time constant of the response. Chapter 4 Time Response
Time Repoe Chapter 4 Time Repoe Itroductio The output repoe of a ytem i the um of two repoe: the forced repoe ad the atural repoe. Although may techique, uch a olvig a differetial equatio or takig the
More informationx z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed.
] z-tet for the mea, μ If the P-value i a mall or maller tha a pecified value, the data are tatitically igificat at igificace level. Sigificace tet for the hypothei H 0: = 0 cocerig the ukow mea of a populatio
More informationCOMPARISONS INVOLVING TWO SAMPLE MEANS. Two-tail tests have these types of hypotheses: H A : 1 2
Tetig Hypothee COMPARISONS INVOLVING TWO SAMPLE MEANS Two type of hypothee:. H o : Null Hypothei - hypothei of o differece. or 0. H A : Alterate Hypothei hypothei of differece. or 0 Two-tail v. Oe-tail
More informationa 1 = 1 a a a a n n s f() s = Σ log a 1 + a a n log n sup log a n+1 + a n+2 + a n+3 log n sup () s = an /n s s = + t i
0 Dirichlet Serie & Logarithmic Power Serie. Defiitio & Theorem Defiitio.. (Ordiary Dirichlet Serie) Whe,a,,3, are complex umber, we call the followig Ordiary Dirichlet Serie. f() a a a a 3 3 a 4 4 Note
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 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 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 informationA Novel Oscillation Controller for Vibrational MEMS Gyroscopes 1
Proeedig of the 7 Ameria Cotrol Coferee Marriott Marqui Hotel at Time Square New York City, USA, July -3, 7 ThB5 A Novel Oillatio Cotroller for Vibratioal MEMS Gyroope Lili Dog, *, Member, IEEE, Qig Zheg,
More information14 i. Experiment 14 LUMPED-PARAMETER DELAY LINE. Dispersion Relation 1. Characteristic Impedance 3. Cutoff Frequency 5
4 i Experimet 4 LUMPED-PARAMETER DELAY LINE Itrodutio Diperio Relatio Charateriti Impedae 3 Cutoff Frequey 5 Propagatio o the Lie ad Refletio at Termiatio 6 Steady-State Repoe ad Reoae 9 Prelab Problem
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 informationGEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING ECE 06 Summer 07 Problem Set #5 Assiged: Jue 3, 07 Due Date: Jue 30, 07 Readig: Chapter 5 o FIR Filters. PROBLEM 5..* (The
More information8.6 Order-Recursive LS s[n]
8.6 Order-Recurive LS [] Motivate ti idea wit Curve Fittig Give data: 0,,,..., - [0], [],..., [-] Wat to fit a polyomial to data.., but wic oe i te rigt model?! Cotat! Quadratic! Liear! Cubic, Etc. ry
More informationThe Laplace Transform
The Laplace Tranform Prof. Siripong Potiuk Pierre Simon De Laplace 749-827 French Atronomer and Mathematician Laplace Tranform An extenion of the CT Fourier tranform to allow analyi of broader cla of CT
More informationIntroEcono. Discrete RV. Continuous RV s
ItroEcoo Aoc. Prof. Poga Porchaiwiekul, Ph.D... ก ก e-mail: Poga.P@chula.ac.th Homepage: http://pioeer.chula.ac.th/~ppoga (c) Poga Porchaiwiekul, Chulalogkor Uiverity Quatitative, e.g., icome, raifall
More informationIsolated Word Recogniser
Lecture 5 Iolated Word Recogitio Hidde Markov Model of peech State traitio ad aligmet probabilitie Searchig all poible aligmet Dyamic Programmig Viterbi Aligmet Iolated Word Recogitio 8. Iolated Word Recogier
More informationAfter the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution
Chapter V ODE V.4 Power Series Solutio Otober, 8 385 V.4 Power Series Solutio Objetives: After the ompletio of this setio the studet - should reall the power series solutio of a liear ODE with variable
More informationSx [ ] = x must yield a
Math -b Leture #5 Notes This wee we start with a remider about oordiates of a vetor relative to a basis for a subspae ad the importat speial ase where the subspae is all of R. This freedom to desribe vetors
More informationExplicit scheme. Fully implicit scheme Notes. Fully implicit scheme Notes. Fully implicit scheme Notes. Notes
Explicit cheme So far coidered a fully explicit cheme to umerically olve the diffuio equatio: T + = ( )T + (T+ + T ) () with = κ ( x) Oly table for < / Thi cheme i ometime referred to a FTCS (forward time
More informationBernoulli 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 informationZ-buffering, Interpolation and More W-buffering Doug Rogers NVIDIA Corporation
-buerig, Iterpolatio a More -buerig Doug Roger NVIDIA Corporatio roger@viia.om Itroutio Covertig ooriate rom moel pae to ree pae i a erie o operatio that mut be learly uertoo a implemete or viibility problem
More informationLecture 2 Linear and Time Invariant Systems
EE3054 Sigals ad Systems Lecture 2 Liear ad Time Ivariat Systems Yao Wag Polytechic Uiversity Most of the slides icluded are extracted from lecture presetatios prepared by McClella ad Schafer Licese Ifo
More informationSOLUTION: The 95% confidence interval for the population mean µ is x ± t 0.025; 49
C22.0103 Sprig 2011 Homework 7 olutio 1. Baed o a ample of 50 x-value havig mea 35.36 ad tadard deviatio 4.26, fid a 95% cofidece iterval for the populatio mea. SOLUTION: The 95% cofidece iterval for 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 informationDiscrete-Time Systems, LTI Systems, and Discrete-Time Convolution
EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [
More informationPrinciples of Communications Lecture 12: Noise in Modulation Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University
Priiples of Commuiatios Leture 1: Noise i Modulatio Systems Chih-Wei Liu 劉志尉 Natioal Chiao ug Uiversity wliu@twis.ee.tu.edu.tw Outlies Sigal-to-Noise Ratio Noise ad Phase Errors i Coheret Systems Noise
More informationUnit 4: Polynomial and Rational Functions
48 Uit 4: Polyomial ad Ratioal Fuctios Polyomial Fuctios A polyomial fuctio y px ( ) is a fuctio of the form p( x) ax + a x + a x +... + ax + ax+ a 1 1 1 0 where a, a 1,..., a, a1, a0are real costats ad
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 information2D DSP Basics: Systems Stability, 2D Sampling
- Digital Iage Processig ad Copressio D DSP Basics: Systes Stability D Saplig Stability ty Syste is stable if a bouded iput always results i a bouded output BIBO For LSI syste a sufficiet coditio for stability:
More informationDescription and Realization for a Class of Irrational Transfer Functions
UNDER REVIEW Deriptio ad Realizatio for a Cla of Irratioal Trafer Futio Yiheg Wei, Weidi Yi, Yuqua Che, ad Yog Wag arxiv:82368v [eesp] 29 De 28 Abtrat Thi paper propoe a exat deriptio heme whih i a exteio
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 informationDr R Tiwari, Associate Professor, Dept. of Mechanical Engg., IIT Guwahati,
Dr R Tiwari, Assoiate Professor, Dept. of Mehaial Egg., IIT Guwahati, (rtiwari@iitg.eret.i).3 Measuremet ad Sigal Proessig Whe we ivestigate the auses of vibratio, we first ivestigate the relatioship betwee
More informationFIR Filters. Lecture #7 Chapter 5. BME 310 Biomedical Computing - J.Schesser
FIR Filters Lecture #7 Chapter 5 8 What Is this Course All About? To Gai a Appreciatio of the Various Types of Sigals ad Systems To Aalyze The Various Types of Systems To Lear the Skills ad Tools eeded
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 informationContinuous Functions
Cotiuous Fuctios Q What does it mea for a fuctio to be cotiuous at a poit? Aswer- I mathematics, we have a defiitio that cosists of three cocepts that are liked i a special way Cosider the followig defiitio
More informationChapter #5 EEE Control Systems
Sprig EEE Chpter #5 EEE Cotrol Sytem Deig Bed o Root Locu Chpter / Sprig EEE Deig Bed Root Locu Led Cotrol (equivlet to PD cotrol) Ued whe the tedy tte propertie of the ytem re ok but there i poor performce,
More informationComments on Discussion Sheet 18 and Worksheet 18 ( ) An Introduction to Hypothesis Testing
Commet o Dicuio Sheet 18 ad Workheet 18 ( 9.5-9.7) A Itroductio to Hypothei Tetig Dicuio Sheet 18 A Itroductio to Hypothei Tetig We have tudied cofidece iterval for a while ow. Thee are method that allow
More information