Lecture 7: Z-Transform Remember the Laplace transform? This is the same thing but for discrete-time signals! Definition: z is a complex variable: imaginary.

Slides:



Advertisements
Similar presentations
Z-Plane Analysis DR. Wajiha Shah. Content Introduction z-Transform Zeros and Poles Region of Convergence Important z-Transform Pairs Inverse z-Transform.
Advertisements

The z-Transform: Introduction
Signal Processing in the Discrete Time Domain Microprocessor Applications (MEE4033) Sogang University Department of Mechanical Engineering.
Lecture 7: Basis Functions & Fourier Series
Hany Ferdinando Dept. of Electrical Eng. Petra Christian University
AMI 4622 Digital Signal Processing
Lecture 8: Fourier Series and Fourier Transform
Lecture 14: Laplace Transform Properties
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.
Lecture #07 Z-Transform meiling chen signals & systems.
Lecture 12: Laplace Transform
Image (and Video) Coding and Processing Lecture 2: Basic Filtering Wade Trappe.
Discrete-Time Convolution Linear Systems and Signals Lecture 8 Spring 2008.
Systems: Definition Filter
EE513 Audio Signals and Systems Digital Signal Processing (Systems) Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
1 7.1 Discrete Fourier Transform (DFT) 7.2 DFT Properties 7.3 Cyclic Convolution 7.4 Linear Convolution via DFT Chapter 7 Discrete Fourier Transform Section.
UNIT - 4 ANALYSIS OF DISCRETE TIME SIGNALS. Sampling Frequency Harry Nyquist, working at Bell Labs developed what has become known as the Nyquist Sampling.
11.4 Geometric Sequences Geometric Sequences and Series geometric sequence If we start with a number, a 1, and repeatedly multiply it by some constant,
THE BEST CLASS EVER…ERRR…. PRE-CALCULUS Chapter 13 Final Exam Review.
Chapter 5 Z Transform. 2/45  Z transform –Representation, analysis, and design of discrete signal –Similar to Laplace transform –Conversion of digital.
1 Z-Transform. CHAPTER 5 School of Electrical System Engineering, UniMAP School of Electrical System Engineering, UniMAP NORSHAFINASH BT SAUDIN
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.
Fourier Analysis of Discrete Time Signals
Z TRANSFORM AND DFT Z Transform
Digital Signal Processing
The Z-Transform Quote of the Day Such is the advantage of a well-constructed language that its simplified notation often becomes the source of profound.
Lecture 5 – 6 Z - Transform By Dileep Kumar.
Dr. Michael Nasief Digital Signal Processing Lec 7 1.
Review of DSP.
Power Series A power series is an infinite polynomial.
Digital and Non-Linear Control
Review of DSP.
The Z-Transform.
CHAPTER 5 Z-Transform. EKT 230.
Digital Signal Processing
1.3 Exponential and Sinusoidal Signals
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen
The sum of the infinite and finite geometric sequence
Recap: Chapters 1-7: Signals and Systems
Laplace Transform.
The Laplace Transform Prof. Brian L. Evans
LAPLACE TRANSFORMS PART-A UNIT-V.
Everything You Ever Wanted to Know About Filters*
Chapter 5 Z Transform.
The Inverse Z-Transform
Quick Review of LTI Systems
LECTURE 28: THE Z-TRANSFORM AND ITS ROC PROPERTIES
Prof. Vishal P. Jethava EC Dept. SVBIT,Gandhinagar
CT-321 Digital Signal Processing
The Z-Transform of a given discrete signal, x(n), is given by:
Research Methods in Acoustics Lecture 9: Laplace Transform and z-Transform Jonas Braasch.
Discrete-Time Complex
Chapter 5 DT System Analysis : Z Transform Basil Hamed
Discrete-Time Signal processing Chapter 3 the Z-transform
Z TRANSFORM AND DFT Z Transform
Discrete Fourier Transform Dr.P.Prakasam Professor/ECE.
Z-Transform ENGI 4559 Signal Processing for Software Engineers
Fourier Analysis.
Discrete-Time Signal processing Chapter 3 the Z-transform
Lecture #6 INTRODUCTION TO THE Z-TRANSFORM
Discrete-Time Signal processing Chapter 3 the Z-transform
Signals and Systems Revision Lecture 1
Lecture 2: Signals Concepts & Properties
9.5 Series.
10.0 Z-Transform 10.1 General Principles of Z-Transform Z-Transform
Lecture 4: Linear Systems and Convolution
Review of DSP.
Signals and Systems Lecture 27
Presentation transcript:

Lecture 7: Z-Transform Remember the Laplace transform? This is the same thing but for discrete-time signals! Definition: z is a complex variable: imaginary z r w real 01-Oct, 98 EE421, Lecture 7

Z-transform What is z-n or zn? rate of decay (or growth) is determined by r frequency of oscillation is determined by w real part imaginary part real part imaginary part 01-Oct, 98 EE421, Lecture 7

Z-Transform imaginary real unit circle r = 1 plots of zn 01-Oct, 98 EE421, Lecture 7

Z-Transform Transfer function: Notation: Properties: linearity delay convolution system impulse response 01-Oct, 98 EE421, Lecture 7

Z-Transform Some simple pairs: finite-length sequence impulse n=0 01-Oct, 98 EE421, Lecture 7

Z-Transform The geometric series is important for deriving many z-transforms: 01-Oct, 98 EE421, Lecture 7

Z-Transform only if |Z|>1! only if |Z|<1! unit step function reversed step function only if |Z|>1! only if |Z|<1! Do these different functions have the same z-transform? 01-Oct, 98 EE421, Lecture 7

Z-Transform Region of Convergence In general, the z-transform is an infinite sum! This means it (the z-transform) may not exist for all values of z. More specifically, it is the value of r = |z| that is important. If x(n) = (0.5)nu(n), then z-plane only if |Z|>0.5 ! 0.5 ROC 01-Oct, 98 EE421, Lecture 7

Z-Transform Region of Convergence Here’s what the ROC can look like: |z|<a b<|z| b<|z|<a all |z| 01-Oct, 98 EE421, Lecture 7