16.362 Signal and System I Causality ROC for n < 0 causal All z -n terms, not include any z terms If and only if ROC is exterior of a circle and include.

Slides:



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

The z-Transform: Introduction
ELEN 5346/4304 DSP and Filter Design Fall Lecture 7: Z-transform Instructor: Dr. Gleb V. Tcheslavski Contact:
AMI 4622 Digital Signal Processing
Z Transform (2) Hany Ferdinando Dept. of Electrical Eng. Petra Christian University.
Chapter 7 Laplace Transforms. Applications of Laplace Transform notes Easier than solving differential equations –Used to describe system behavior –We.
EECS 20 Chapter 12 Part 11 Stability and Z Transforms Last time we Explored sampling and reconstruction of signals Saw examples of the phenomenon known.
EE-2027 SaS, L13 1/13 Lecture 13: Inverse Laplace Transform 5 Laplace transform (3 lectures): Laplace transform as Fourier transform with convergence factor.
Lecture #7 FREQUENCY RESPONSE OF LSI SYSTEMS Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh, Pennsylvania.
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.
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},
Image (and Video) Coding and Processing Lecture 2: Basic Filtering Wade Trappe.
Difference Equations and Stability Linear Systems and Signals Lecture 10 Spring 2008.
EC 2314 Digital Signal Processing By Dr. K. Udhayakumar.
Discrete-time Systems Prof. Siripong Potisuk. Input-output Description A DT system transforms DT inputs into DT outputs.
Analysis of Discrete Linear Time Invariant Systems
UNIT - 4 ANALYSIS OF DISCRETE TIME SIGNALS. Sampling Frequency Harry Nyquist, working at Bell Labs developed what has become known as the Nyquist Sampling.
The z-Transform Prof. Siripong Potisuk. LTI System description Previous basis function: unit sample or DT impulse  The input sequence is represented.
10.0 Z-Transform 10.1 General Principles of Z-Transform linear, time-invariant Z-Transform Eigenfunction Property y[n] = H(z)z n h[n]h[n] x[n] = z n.
CE Digital Signal Processing Fall 1992 Z Transform
Chapter 7 LTI Discrete-Time Systems in the Transform domain.
Signal and Systems Prof. H. Sameti Chapter 9: Laplace Transform  Motivatio n and Definition of the (Bilateral) Laplace Transform  Examples of Laplace.
Discrete-time Systems Prof. Siripong Potisuk. Input-output Description A DT system transforms DT inputs into DT outputs.
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.
System Function of discrete-time systems
Z Transform Chapter 6 Z Transform. z-Transform The DTFT provides a frequency-domain representation of discrete-time signals and LTI discrete-time systems.
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.
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.
Transform Analysis of LTI systems 主講人:虞台文. Content The Frequency Response of LTI systems Systems Characterized by Constant- Coefficient Difference Equations.
ES97H Biomedical Signal Processing
Homework 3.
Signal and System I Analysis and characterization of the LTI system using the Laplace transform Causal ROC associate with a causal system is a right-half.
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.
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.
Husheng Li, UTK-EECS, Fall  The principle value of the phase response will exhibit discontinuities when viewed as a function of w.  We use.
Transform Analysis of LTI Systems Quote of the Day Any sufficiently advanced technology is indistinguishable from magic. Arthur C. Clarke Content and Figures.
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 8: Transform Analysis of LTI System XILIANG LUO 2014/10 1.
EE421, Fall 1998 Michigan Technological University Timothy J. Schulz 08-Oct, 98EE421, Lecture 81 Lecture 8: Z-Transforms l ROC and Causality |z|
Analysis of Linear Time Invariant (LTI) Systems
Chapter 5. Transform Analysis of LTI Systems Section
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.
Relationship between Magnitude and Phase Quote of the Day Experience is the name everyone gives to their mistakes. Oscar Wilde Content and Figures are.
Relationship between Magnitude and Phase Quote of the Day Experience is the name everyone gives to their mistakes. Oscar Wilde Content and Figures are.
Review of DSP.
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
Review of DSP.
The Z-Transform.
CHAPTER 5 Z-Transform. EKT 230.
Discrete-time Systems
LAPLACE TRANSFORMS PART-A UNIT-V.
Quick Review of LTI Systems
LECTURE 28: THE Z-TRANSFORM AND ITS ROC PROPERTIES
لجنة الهندسة الكهربائية
Prof. Vishal P. Jethava EC Dept. SVBIT,Gandhinagar
CT-321 Digital Signal Processing
Research Methods in Acoustics Lecture 9: Laplace Transform and z-Transform Jonas Braasch.
Chapter 5 DT System Analysis : Z Transform Basil Hamed
Discrete-Time Signal processing Chapter 3 the Z-transform
Z-Transform ENGI 4559 Signal Processing for Software Engineers
Discrete-Time Signal processing Chapter 3 the Z-transform
Lecture #8 (Second half) FREQUENCY RESPONSE OF LSI SYSTEMS
Discrete-Time Signal processing Chapter 3 the Z-transform
9.0 Laplace Transform 9.1 General Principles of Laplace Transform
10.0 Z-Transform 10.1 General Principles of Z-Transform Z-Transform
Review of DSP.
Presentation transcript:

Signal and System I Causality ROC for n < 0 causal All z -n terms, not include any z terms If and only if ROC is exterior of a circle and include infinity

Signal and System I Causality for n < 0 causal All z -n terms, not include any z terms If and only if ROC is exterior of a circle and include infinity If H(z) is rational, then ROC is outside of the outermost pole including the infinite H(z) is finite when z --> . A discrete-time LTI system with rational system function H(z) is causal if and only if (a) the ROC is the exterior of a circle outside the outermost pole; and (b) with the H(z) expressed as a ratio of polynomials in z, the order of the numerator can not be greater than the order of the denominator.

Signal and System I Example Not causal ROC |z|>2 causal (1) Exterior of circle 2 (2) The order of the numerator is not larger that the denominator

Signal and System I Stability An LTI system is stable if and only if the ROC of the H(z) of the system function contains unit circle. At unit circle

Signal and System I Stability A causal LTI system with rational system function H(z) is stable if and only if all the poles lie inside the unit circle, i.e. their magnitudes are all small than 1. Example Causal system Pole z=a not stable stable

Signal and System I Causal system Poles ROC 1 Unit circle x x not stable stable

Signal and System I LTI system characterized by linear constant difference equation ROC |z|>1/2

Signal and System I Example

Signal and System I Example

Signal and System I Example

Signal and System I Example Stable and causal system H(z) has a pole at z = ½, and a zero on the unite circle. Other poles and zeros are unknown converge for some  h[n] has finite duration X h[n] is real Insufficient information is a impulse response of a stable system.