Includes bibliographical references (p. 412 ) and index.

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 - Digital Filter Structures Chapter 7 - FIR Filter Design Chapter 8 - IIR Filter Design Chapter 9 - Finite Word-Length Effects Chapter 10 - Sampling Rate Conversion Chapter 11 - Applications in Adaptive Filtering Chapter 12 - Applications in Communications

This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB(r) in the study of DSP concepts. In this book, MATLAB(r) 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(r) 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. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB(r) V7.