Description

In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.

Table of Contents

CHAPTER 1: INTRODUCTION
CHAPTER 2: DISCRETE-TIME SIGNALS AND SYSTEMS
CHAPTER 3: THE DISCRETE-TIME FOURIER ANALYSIS
CHAPTER 4: THE z-TRANSFORM
CHAPTER 5: THE DISCRETE FOURIER TRANSFORM
CHAPTER 6: IMPLEMENTATION OF DISCRETE-TIME FILTERS
CHAPTER 7: FIR FILTER DESIGN
CHAPTER 8: IIR FILTER DESIGN
CHAPTER 9: SAMPLING RATE CONVERSION
CHAPTER 10: ROUND-OFF EFFECTS IN DIGITAL FILTERS
CHAPTER 11: APPLICATIONS IN ADAPTIVE FILTERING
CHAPTER 12: APPLICATIONS IN COMMUNICATIONS