Signal Processing First Lecture 14 Z Transforms Introduction





![“TRANSFORM” EXAMPLE § Equivalent Representations x[n] y[n] 11/1/2020 © 2003, JH Mc. Clellan & “TRANSFORM” EXAMPLE § Equivalent Representations x[n] y[n] 11/1/2020 © 2003, JH Mc. Clellan &](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-6.jpg)
![Z-TRANSFORM IDEA § POLYNOMIAL REPRESENTATION 11/1/2020 x[n] y[n] © 2003, JH Mc. Clellan & Z-TRANSFORM IDEA § POLYNOMIAL REPRESENTATION 11/1/2020 x[n] y[n] © 2003, JH Mc. Clellan &](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-7.jpg)



![Z-Transform of FIR Filter § CALLED the SYSTEM FUNCTION § h[n] is same as Z-Transform of FIR Filter § CALLED the SYSTEM FUNCTION § h[n] is same as](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-11.jpg)

![Ex. DELAY SYSTEM § UNIT DELAY: find h[n] and H(z) x[n] y[n] = x[n-1] Ex. DELAY SYSTEM § UNIT DELAY: find h[n] and H(z) x[n] y[n] = x[n-1]](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-13.jpg)
![DELAY EXAMPLE § UNIT DELAY: find y[n] via polynomials § x[n] = {3, 1, DELAY EXAMPLE § UNIT DELAY: find y[n] via polynomials § x[n] = {3, 1,](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-14.jpg)

![GENERAL I/O PROBLEM § Input is x[n], find y[n] (for FIR, h[n]) § How GENERAL I/O PROBLEM § Input is x[n], find y[n] (for FIR, h[n]) § How](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-16.jpg)



![CONVOLUTION EXAMPLE § Finite-Length input x[n] § FIR Filter (L=4) MULTIPLY Z-TRANSFORMS y[n] = CONVOLUTION EXAMPLE § Finite-Length input x[n] § FIR Filter (L=4) MULTIPLY Z-TRANSFORMS y[n] =](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-20.jpg)

![CASCADE EQUIVALENT § Multiply the System Functions x[n] y[n] EQUIVALENT SYSTEM 11/1/2020 © 2003, CASCADE EQUIVALENT § Multiply the System Functions x[n] y[n] EQUIVALENT SYSTEM 11/1/2020 © 2003,](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-22.jpg)
![CASCADE EXAMPLE x[n] w[n] x[n] 11/1/2020 y[n] © 2003, JH Mc. Clellan & RW CASCADE EXAMPLE x[n] w[n] x[n] 11/1/2020 y[n] © 2003, JH Mc. Clellan & RW](https://slidetodoc.com/presentation_image/366ca2b388efc2dd7571e4a0ab40f0ec/image-23.jpg)
- Slides: 23
Signal Processing First Lecture 14 Z Transforms: Introduction 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 1
READING ASSIGNMENTS § This Lecture: § Chapter 7, Sects 7 -1 through 7 -5 § Other Reading: § Recitation: Ch. 7 § CASCADING SYSTEMS § Next Lecture: Chapter 7, 7 -6 to the end 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 3
LECTURE OBJECTIVES § INTRODUCE the Z-TRANSFORM § Give Mathematical Definition § Show the H(z) POLYNOMIAL simplifies analysis § CONVOLUTION is SIMPLIFIED ! § Z-Transform can be applied to § FIR Filter: h[n] --> H(z) § Signals: x[n] --> X(z) 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 4
TWO (no, THREE) DOMAINS Z-TRANSFORM-DOMAIN POLYNOMIALS: H(z) FREQ-DOMAIN TIME-DOMAIN 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 5
TRANSFORM CONCEPT § Move to a new domain where § OPERATIONS are EASIER & FAMILIAR § Use POLYNOMIALS § TRANSFORM both ways § x[n] ---> X(z) (into the z domain) § X(z) ---> x[n] (back to the time domain) 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 6
“TRANSFORM” EXAMPLE § Equivalent Representations x[n] y[n] 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 7
Z-TRANSFORM IDEA § POLYNOMIAL REPRESENTATION 11/1/2020 x[n] y[n] © 2003, JH Mc. Clellan & RW Schafer 8
Z-Transform DEFINITION § POLYNOMIAL Representation of LTI SYSTEM: § EXAMPLE: APPLIES to Any SIGNAL POLYNOMIAL in z-1 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 9
Z-Transform EXAMPLE § ANY SIGNAL has a z-Transform: 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 10
EXPONENT GIVES TIME LOCATION 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 11
Z-Transform of FIR Filter § CALLED the SYSTEM FUNCTION § h[n] is same as {bk} SYSTEM FUNCTION FIR DIFFERENCE EQUATION 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer CONVOLUTION 12
Z-Transform of FIR Filter § Get H(z) DIRECTLY from the {bk} § Example 7. 3 in the book: 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 13
Ex. DELAY SYSTEM § UNIT DELAY: find h[n] and H(z) x[n] y[n] = x[n-1] x[n] 11/1/2020 y[n] © 2003, JH Mc. Clellan & RW Schafer 14
DELAY EXAMPLE § UNIT DELAY: find y[n] via polynomials § x[n] = {3, 1, 4, 1, 5, 9, 0, 0, 0, . . . } 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 15
DELAY PROPERTY 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 16
GENERAL I/O PROBLEM § Input is x[n], find y[n] (for FIR, h[n]) § How to combine X(z) and H(z) ? 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 17
FIR Filter = CONVOLUTION 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 18 CONVOLUTION
CONVOLUTION PROPERTY § PROOF: MULTIPLY Z-TRANSFORMS 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 19
CONVOLUTION EXAMPLE § MULTIPLY the z-TRANSFORMS: MULTIPLY H(z)X(z) 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 20
CONVOLUTION EXAMPLE § Finite-Length input x[n] § FIR Filter (L=4) MULTIPLY Z-TRANSFORMS y[n] = ? 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 21
CASCADE SYSTEMS § Does the order of S 1 & S 2 matter? § NO, LTI SYSTEMS can be rearranged !!! § Remember: h 1[n] * h 2[n] § How to combine H 1(z) and H 2(z) ? S 1 11/1/2020 S 2 © 2003, JH Mc. Clellan & RW Schafer 22
CASCADE EQUIVALENT § Multiply the System Functions x[n] y[n] EQUIVALENT SYSTEM 11/1/2020 © 2003, JH Mc. Clellan & RW Schafer 23
CASCADE EXAMPLE x[n] w[n] x[n] 11/1/2020 y[n] © 2003, JH Mc. Clellan & RW Schafer 24