The z-Transform: Introduction

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

Signals and Systems Fall 2003 Lecture #22 2 December 2003
Signals and Systems EE235 Leo Lam ©
ECON 397 Macroeconometrics Cunningham
Laplace Transform (1).
Signal and System I The inverse z-transform Any path in the ROC to make the integral converge Example ROC |z|>1/3.
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.
AMI 4622 Digital Signal Processing
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 14: Laplace Transform Properties
Lecture #8 INTRODUCTION TO THE Z-TRANSFORM Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh, Pennsylvania.
Discrete-Time Signal processing Chapter 3 the Z-transform
Lecture #07 Z-Transform meiling chen signals & systems.
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},
Systems: Definition Filter
EC 2314 Digital Signal Processing By Dr. K. Udhayakumar.
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 LAPLACE TRANSFORM LEARNING GOALS Definition The transform maps a function of time into a function of a complex variable Two important singularity functions.
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
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.
Signals and Systems Fall 2003 Lecture #17 4 November Motivation and Definition of the (Bilateral) Laplace Transform 2. Examples of Laplace Transforms.
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.
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.
THE LAPLACE TRANSFORM LEARNING GOALS Definition
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.
Chapter 7 The Laplace Transform
Motivation for the Laplace Transform
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.
Dr. Michael Nasief Digital Signal Processing Lec 7 1.
Review of DSP.
Lecture 22 Outline: Laplace Examples, Inverse, Rational Form Announcements: Reading: “6: The Laplace Transform” pp HW 7 posted, due today More Laplace.
The z-Transform Page 1 Chapter 2 Z-transfrom The Z-Transfrom.
Review of DSP.
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.
(2) Region of Convergence ( ROC )
The Z-Transform.
CHAPTER 5 Z-Transform. EKT 230.
Laplace transform Example Region of convergence (ROC)
The Laplace Transform Prof. Brian L. Evans
LAPLACE TRANSFORMS PART-A UNIT-V.
Chapter 5 Z Transform.
The Inverse Z-Transform
UNIT II Analysis of Continuous Time signal
LECTURE 28: THE Z-TRANSFORM AND ITS ROC PROPERTIES
Prof. Vishal P. Jethava EC Dept. SVBIT,Gandhinagar
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
Signals and Systems EE235 Leo Lam ©
1 Z Transform Dr.P.Prakasam Professor/ECE 9/18/2018SS/Dr.PP/ZT.
Z-Transform ENGI 4559 Signal Processing for Software Engineers
CHAPTER-6 Z-TRANSFORM.
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
9.0 Laplace Transform 9.1 General Principles of Laplace Transform
10.0 Z-Transform 10.1 General Principles of Z-Transform Z-Transform
CHAPTER 4 Laplace Transform. EMT Signal Analysis.
Review of DSP.
EE150: Signals and Systems 2016-Spring
Signals and Systems Lecture 27
THE LAPLACE TRANSFORM LEARNING GOALS Definition
Presentation transcript:

The z-Transform: Introduction Why z-Transform? Many of signals (such as x(n)=u(n), x(n) = (0.5)nu(-n), x(n) = sin(nω) etc. ) do not have a DTFT. Advantages like Fourier transform provided: Solution process reduces to a simple algebraic procedures The temporal domain sequence output y(n) = x(n)*h(n) can be represent as Y(z)= X(z)H(z) Properties of systems can easily be studied and characterized in z – domain (such as stability..) Topics: Definition of z –Transform Properties of z- Transform Inverse z- Transform

Definition of the z-Transform Definition:The z-transform of a discrete-time signal x(n) is defined by where z = rejw is a complex variable. The values of z for which the sum converges define a region in the z-plane referred to as the region of convergence (ROC). Notationally, if x(n) has a z-transform X(z), we write The z-transform may be viewed as the DTFT or an exponentially weighted sequence. Specifically, note that with z = rejw, X(z) can be looked as the DTFT of the sequence r--nx(n) and ROC is determined by the range of values of r of the following right inequation.

ROC & z-plane Complex z-plane Zeros and poles of X(z) z = Re(z)+jIm(z) = rejw Zeros and poles of X(z) Many signals have z-transforms that are rational function of z: Factorizing it will give: The roots of the numerator polynomial, βk,are referred to as the zeros (o) and αk are referred to as poles (x). ROC of X(z) will not contain poles.

ROC properties ROC is an annulus or disc in the z-plane centred at the origin. i.e. A finite-length sequence has a z-transform with a region of convergence that includes the entire z-plane except, possibly, z = 0 and z = . The point z = will be included if x(n) = 0 for n < 0, and the point z = 0 will be included if x(n) = 0 for n > 0. A right-sided sequence has a z-transform with a region of convergence that is the exterior of a circle: ROC: |z|>α A left-sided sequence has a z-transform with a region of convergence that is the interior of a circle: ROC: |z|<β The Fourier Transform of x(n) converges absolutely if and only if ROC of z-transform includes the unit circle

Properties of Z-Transform Linearity If x(n) has a z-transform X(z) with a region of convergence Rx, and if y(n) has a z-transform Y(z) with a region of convergence Ry, and the ROC of W(z) will include the intersection of Rx and Ry, that is, Rw contains . Shifting property If x(n) has a z-transform X(z), Time reversal If x(n) has a z-transform X(z) with a region of convergence Rx that is the annulus , the z-transform of the time-reversed sequence x(-n) is and has a region of convergence , which is denoted by

Properties of Z-Transform Multiplication by an exponential If a sequence x(n) is multiplied by a complex exponential αn. Convolution theorm If x(n) has a z-transform X(z) with a region of convergence Rx, and if h(n) has a z-transform H(z) with a region of convergence Rh, The ROC of Y(z) will include the intersection of Rx and Rh, that is, Ry contains Rx ∩ Rh . With x(n), y(n), and h(n) denoting the input, output, and unit-sample response, respectively, and X(z), Y(x), and H(z) their z-transforms. The z-transform of the unit-sample response is often referred to as the system function. Conjugation If X(z) is the z-transform of x(n), the z-transform of the complex conjugate of x(n) is

Properties of Z-Transform Derivative If X(z) is the z-transform of x(n), the z-transform of is Initial value theorem If X(z) is the z-transform of x(n) and x(n) is equal to zero for n<0, the initial value, x(0), maybe be found from X(z) as follows: