CHAPTER 5

REPRESENTING SIGNALS AND SYSTEMS

5.1 CHAPTER OBJECTIVES

On completion of this chapter, the reader should be able to:

1. explain how sampled signals are generated, and be able to generate sampled waveforms using an equation.

2. explain the relationship between continuous and discrete frequency.

3. derive the z transform of a signal.

4. convert from a z transform to a difference equation.

5. determine the stability of a given system.

6. explain the relationship between a pole–zero plot and a system’s frequency response.

7. explain what is meant by convolution, and how to calculate a system’s response using convolution.

5.2 INTRODUCTION

We now turn our attention from analyzing a given sampled signal to synthesizing (generating) a sampled signal. Many applications depend on the ability to generate a signal: One important application area is to generate signals for communication systems. Once the theory for generating signals is introduced, it will be possible to analyze systems which alter a signal as it passes through a system. These two operations—analysis and synthesis—may be viewed as the inverse of each other, and much of the same theory applies equally well to either.

5.3 DISCRETE-TIME WAVEFORM GENERATION

Consider a sine wave as a point on a circle, sampled at discrete angular increments as shown in Figure 5.1. The path traced out on the horizontal axis is sinusoidal. As will be seen in Chapter 7, a fundamental principle of signal processing called “Fourier’s ...

Get Digital Signal Processing Using MATLAB for Students and Researchers now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.