1 Z Transform Dr.P.Prakasam Professor/ECE 9/18/2018SS/Dr.PP/ZT.

Slides:



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

The z-Transform: Introduction
ECON 397 Macroeconometrics Cunningham
Signal Processing in the Discrete Time Domain Microprocessor Applications (MEE4033) Sogang University Department of Mechanical Engineering.
Lecture 141 EEE 302 Electrical Networks II Dr. Keith E. Holbert Summer 2001.
EE-2027 SaS, L13 1/13 Lecture 13: Inverse Laplace Transform 5 Laplace transform (3 lectures): Laplace transform as Fourier transform with convergence factor.
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
Lecture 19: Discrete-Time Transfer Functions
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.
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},
Chapter 3 1 Laplace Transforms 1. Standard notation in dynamics and control (shorthand notation) 2. Converts mathematics to algebraic operations 3. Advantageous.
Computational Geophysics and Data Analysis
Chapter 3: The Laplace Transform
The sampling of continuous-time signals is an important topic It is required by many important technologies such as: Digital Communication Systems ( Wireless.
The z-Transform Prof. Siripong Potisuk. LTI System description Previous basis function: unit sample or DT impulse  The input sequence is represented.
ORDINARY DIFFERENTIAL EQUATION (ODE) 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.
Prepared by Mrs. Azduwin Binti Khasri
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
Chapter 6 The Laplace Transform and the Transfer Function Representation.
Chapter 2 Laplace Transform 2.1 Introduction The Laplace transform method can be used for solving linear differential equations. Laplace transforms can.
Z TRANSFORM AND DFT Z Transform
THE LAPLACE TRANSFORM LEARNING GOALS Definition
Digital Signal Processing
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.
Chapter 7 The Laplace Transform
Motivation for the Laplace Transform
Sampling and Reconstruction The impulse response of an continuous-time ideal low pass filter is the inverse continuous Fourier transform of its frequency.
Topics 1 Specific topics to be covered are: Discrete-time signals Z-transforms Sampling and reconstruction Aliasing and anti-aliasing filters Sampled-data.
DYNAMIC BEHAVIOR OF PROCESSES :
The z-Transform Page 1 Chapter 2 Z-transfrom The Z-Transfrom.
Digital and Non-Linear Control
Laplace Transforms Chapter 3 Standard notation in dynamics and control
Review of DSP.
(2) Region of Convergence ( ROC )
The Z-Transform.
CHAPTER 5 Z-Transform. EKT 230.
Advanced Engineering Mathematics 6th Edition, Concise Edition
LAPLACE TRANSFORMS PART-A UNIT-V.
Everything You Ever Wanted to Know About Filters*
Mathematical Descriptions of Systems
Chapter 5 Z Transform.
Chapter 5 Integral Transforms and Complex Variable Functions
UNIT II Analysis of Continuous Time signal
Signal and Systems Chapter 9: Laplace Transform
The sampling of continuous-time signals is an important topic
Prof. Vishal P. Jethava EC Dept. SVBIT,Gandhinagar
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.
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.
Algebra 1 Section 13.6.
Z-Transform ENGI 4559 Signal Processing for Software Engineers
Algebra Section 11-1 : Rational Expressions and Functions
CHAPTER-6 Z-TRANSFORM.
Discrete-Time Signal processing Chapter 3 the Z-transform
Discrete-Time Signal processing Chapter 3 the Z-transform
10.0 Z-Transform 10.1 General Principles of Z-Transform Z-Transform
Review of DSP.
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
Legendre Polynomials Pn(x)
Boyce/DiPrima 9th ed, Ch 5.3: Series Solutions Near an Ordinary Point, Part II Elementary Differential Equations and Boundary Value Problems, 9th edition,
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
THE LAPLACE TRANSFORM LEARNING GOALS Definition
Presentation transcript:

1 Z Transform Dr.P.Prakasam Professor/ECE 9/18/2018SS/Dr.PP/ZT

2 z-Transform The z-transform is the most general concept for the transformation of discrete-time series. The Laplace transform is the more general concept for the transformation of continuous time processes. For example, the Laplace transform allows you to transform a differential equation, and its corresponding initial and boundary value problems, into a space in which the equation can be solved by ordinary algebra. The switching of spaces to transform calculus problems into algebraic operations on transforms is called operational calculus. The Laplace and z transforms are the most important methods for this purpose. 9/18/2018SS/Dr.PP/ZT

3 The Transforms The Laplace transform of a function f(t): The one-sided z-transform of a function x(n): The two-sided z-transform of a function x(n): 9/18/2018SS/Dr.PP/ZT

4 Region of Convergence The z-transform of x(n) can be viewed as the Fourier transform of x(n) multiplied by an exponential sequence r -n, and the z- transform may converge even when the Fourier transform does not. By redefining convergence, it is possible that the Fourier transform may converge when the z-transform does not. For the Fourier transform to converge, the sequence must have finite energy, or: 9/18/2018SS/Dr.PP/ZT

5 Convergence, continued The power series for the z-transform is called a Laurent series: The Laurent series, and therefore the z-transform, represents an analytic function at every point inside the region of convergence, and therefore the z-transform and all its derivatives must be continuous functions of z inside the region of convergence. In general, the Laurent series will converge in an annular region of the z-plane. 9/18/2018SS/Dr.PP/ZT

6 Some Special Functions First we introduce the Dirac delta function (or unit sample function): This allows an arbitrary sequence x(n) or continuous-time function f(t) to be expressed as: or 9/18/2018SS/Dr.PP/ZT

7 Convolution, Unit Step These are referred to as discrete-time or continuous-time convolution, and are denoted by: We also introduce the unit step function: Note also: 9/18/2018SS/Dr.PP/ZT

8 Poles and Zeros When X(z) is a rational function, i.e., a ration of polynomials in z, then: 1.The roots of the numerator polynomial are referred to as the zeros of X(z), and 2.The roots of the denominator polynomial are referred to as the poles of X(z). Note that no poles of X(z) can occur within the region of convergence since the z- transform does not converge at a pole. Furthermore, the region of convergence is bounded by poles. 9/18/2018SS/Dr.PP/ZT