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.

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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.
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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 and Computer Engineering The University of Texas at Austin Z-transforms

Z-transforms For discrete-time systems, z-transforms play the same role as 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

Z-transform Pairs h[n] =  [n] Region of convergence: entire z-plane h[n] =  [n-1] Region of convergence: entire z-plane except z = 0 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

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)

Applying Z-transform Definition Finite extent signal Polynomial in z -1 Five-tap delay line Impulse response h[n] Transfer function H(z) h[n]h[n] n h[n] = n ( u[n] – u[n-6] ) n = -1:6; h = n.* ( stepfun(n,0) - stepfun(n-6,0) ); stem(n, h);

BIBO Stability Rule #1: Poles inside unit circle (causal signals) Rule #2: Unit circle in region of convergence Analogy in continuous-time: imaginary axis would be in region of convergence of Laplace transform Example: BIBO stable if |a| < 1 by rule #1 BIBO stable if |z| > |a| includes unit circle; hence, |a| < 1 by rule #2 BIBO means Bounded-Input Bounded-Output

Inverse z-transform Definition Yuk! Using the definition requires a contour integration in the complex z-plane Use Cauchy residue theorem (from complex analysis) OR Use transform tables and transform pairs? Fortunately, we tend to be interested in only a few basic signals (pulse, step, etc.) Virtually all signals can be built from these basic signals For common signals, z-transform pairs have been tabulated

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 Right shift (delay) Second property used in solving difference equations Second property derived in Appendix N of course reader by decomposing the left-hand side as follows: x[n-m] u[n] = x[n-m] (u[n] – u[n-m]) + x[n-m] u[n-m]

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