EE313 Linear Systems and Signals Fall 2005 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.

Slides:



Advertisements
Similar presentations
Signals and Systems Fall 2003 Lecture #22 2 December 2003
Advertisements

EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
ELEN 5346/4304 DSP and Filter Design Fall Lecture 7: Z-transform Instructor: Dr. Gleb V. Tcheslavski Contact:
AMI 4622 Digital Signal Processing
Familiar Properties of Linear Transforms
Lecture 19: Discrete-Time Transfer Functions
EE-2027 SaS, L18 1/12 Lecture 18: Discrete-Time Transfer Functions 7 Transfer Function of a Discrete-Time Systems (2 lectures): Impulse sampler, Laplace.
Discrete-Time Signal processing Chapter 3 the Z-transform
The z Transform M. J. Roberts - All Rights Reserved. Edited by Dr. Robert Akl.
Lecture #07 Z-Transform meiling chen signals & systems.
Digital Control Systems The z-Transform. The z Transform Definition of z-Transform The z transform method is an operational method that is very powerful.
Z-Transform Fourier Transform z-transform. Z-transform operator: The z-transform operator is seen to transform the sequence x[n] into the function X{z},
Difference Equations and Stability Linear Systems and Signals Lecture 10 Spring 2008.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Differential Equations EE 313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE445S Real-Time Digital Signal Processing Lab Spring.
EE513 Audio Signals and Systems Digital Signal Processing (Systems) Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
ECE 352 Systems II Manish K. Gupta, PhD Office: Caldwell Lab ece. osu. ece. osu. edu Home Page:
UNIT - 4 ANALYSIS OF DISCRETE TIME SIGNALS. Sampling Frequency Harry Nyquist, working at Bell Labs developed what has become known as the Nyquist Sampling.
Laplace Transform (1) Hany Ferdinando Dept. of Electrical Eng. Petra Christian University.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Properties of the z-Transform
The z-Transform Prof. Siripong Potisuk. LTI System description Previous basis function: unit sample or DT impulse  The input sequence is represented.
CE Digital Signal Processing Fall 1992 Z Transform
University of Khartoum -Signals and Systems- Lecture 11
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: Modulation Summation Convolution Initial Value and Final Value Theorems Inverse.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Ch.7 The z-Transform and Discrete-Time Systems. 7.1 The z-Transform Definition: –Consider the DTFT: X(Ω) = Σ all n x[n]e -jΩn (7.1) –Now consider a real.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
UNIT I. SIGNAL ► Signal is a physical quantity that varies with respect to time, space or any other independent variable Eg x(t)= sin t. Eg x(t)= sin.
CHAPTER 4 Laplace Transform.
1 1 Chapter 3 The z-Transform 2 2  Consider a sequence x[n] = u[n]. Its Fourier transform does not converge.  Consider that, instead of e j , we use.
CHAPTER 4 Laplace Transform.
Dan Ellis 1 ELEN E4810: Digital Signal Processing Topic 4: The Z Transform 1.The Z Transform 2.Inverse Z Transform.
Chapter 5 Z Transform. 2/45  Z transform –Representation, analysis, and design of discrete signal –Similar to Laplace transform –Conversion of digital.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
1 Z-Transform. CHAPTER 5 School of Electrical System Engineering, UniMAP School of Electrical System Engineering, UniMAP NORSHAFINASH BT SAUDIN
Infinite Impulse Response Filters
Department of Computer Eng. Sharif University of Technology Discrete-time signal processing Chapter 3: THE Z-TRANSFORM Content and Figures are from Discrete-Time.
1 Lecture 1: February 20, 2007 Topic: 1. Discrete-Time Signals and Systems.
Z TRANSFORM AND DFT Z Transform
EE313 Linear Systems and Signals Spring 2013 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin EE345S Real-Time Digital Signal Processing Lab Fall.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
ECE 352 Systems II Manish K. Gupta, PhD Office: Caldwell Lab Home Page:
ES97H Biomedical Signal Processing
Digital Signal Processing
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Signal and Systems Prof. H. Sameti Chapter 10: Introduction to the z-Transform Properties of the ROC of the z-Transform Inverse z-Transform Examples Properties.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Lecture 5 – 6 Z - Transform By Dileep Kumar.
EE313 Linear Systems and Signals Fall 2010 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical.
Chapter 2 The z Transform.
Chapter 2 The z-transform and Fourier Transforms The Z Transform The Inverse of Z Transform The Prosperity of Z Transform System Function System Function.
Lecture 26 Outline: Z Transforms Announcements: Reading: “8: z-transforms” pp (no inverse or unilateral z transforms) HW 9 posted, due 6/3 midnight.
Properties of the z-Transform
The Z-Transform.
CHAPTER 5 Z-Transform. EKT 230.
The Laplace Transform Prof. Brian L. Evans
EE Audio Signals and Systems
Chapter 5 Z Transform.
Prof. Vishal P. Jethava EC Dept. SVBIT,Gandhinagar
Chapter 5 DT System Analysis : Z Transform Basil Hamed
Z TRANSFORM AND DFT Z Transform
Z-Transform ENGI 4559 Signal Processing for Software Engineers
Discrete-Time Signal processing Chapter 3 the Z-transform
Discrete-Time Signal processing Chapter 3 the Z-transform
Finite Impulse Response Filters
Presentation transcript:

EE313 Linear Systems and Signals Fall 2005 Initial conversion of content to PowerPoint by Dr. Wade C. Schwartzkopf Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin Z-transforms

Z-transforms For discrete-time systems, z-transforms play the same role of Laplace transforms do in continuous-time systems As with the Laplace transform, we compute forward and inverse z-transforms by use of transforms pairs and properties Bilateral Forward z-transformBilateral Inverse z-transform

Region of Convergence Region of the complex z- plane for which forward z-transform converges Im{z} Re{z} Entire plane Im{z} Re{z} Complement of a disk Im{z} Re{z} Disk Im{z} Re{z} Intersection of a disk and complement of a disk Four possibilities (z=0 is a special case and may or may not be included)

Z-transform Pairs h[n] =  [n] Region of convergence: entire z-plane h[n] =  [n-1] Region of convergence: entire z-plane h[n-1]  z -1 H[z] h[n] = a n u[n] Region of convergence: |z| > |a| which is the complement of a disk

Stability Rule #1: For a causal sequence, poles are inside the unit circle (applies to z-transform functions that are ratios of two polynomials) Rule #2: More generally, unit circle is included in region of convergence. (In continuous-time, the imaginary axis would be in the region of convergence of the Laplace transform.) –This is stable if |a| < 1 by rule #1. –It is stable if |z| > |a| and |a| < 1 by rule #2.

Inverse z-transform Yuk! Using the definition requires a contour integration in the complex z-plane. Fortunately, we tend to be interested in only a few basic signals (pulse, step, etc.) –Virtually all of the signals we’ll see can be built up from these basic signals. –For these common signals, the z-transform pairs have been tabulated (see Lathi, Table 5.1)

Example Ratio of polynomial z- domain functions Divide through by the highest power of z Factor denominator into first-order factors Use partial fraction decomposition to get first-order terms

Example (con’t) Find B 0 by polynomial division Express in terms of B 0 Solve for A 1 and A 2

Example (con’t) Express X[z] in terms of B 0, A 1, and A 2 Use table to obtain inverse z-transform With the unilateral z-transform, or the bilateral z-transform with region of convergence, the inverse z-transform is unique

Z-transform Properties Linearity [Lathi, Section 5.1] Right shift (delay) [Lathi, Section 5.2]

Z-transform Properties Convolution definition Take z-transform Z-transform definition Interchange summation Substitute r = n - m Z-transform definition

Example