Digital Signal Processing Using MATLAB

This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB® in the study of DSP concepts. In this book, 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. This updated printing revises the scripts in the book, available functions, and m-files (available for downloading from the Brooks/Cole Bookware Companion Resource Series™ Center Web site) to MATLAB® V5 (created with 5.3).

Table of Contents

PREFACE
1. INTRODUCTION
Overview of DSP / A Few Words about MATLAB®
2. DISCRETE-TIME SIGNALS AND SYSTEMS
Discrete-time Signals / Discrete Systems / Convolution / Difference Equations / Problems
3. THE DISCRETE-TIME FOURIER ANALYSIS
The Discrete-time Fourier Transform (DTFT) / The Properties of the DTFT / The Fr equency Domain Representation of LTI Systems / Sampling and Reconstruction of An alog Signals / Problems
4. THE Z-TRANSFORM
The Bilateral z-Transform / Important Properties of the z-Transform / Inversion of the z-Transform / System Representation in the z-Domain / Solutions of the Di fference Equations / Problems
5. THE DISCRETE FOURIER TRANSFORM
The Discrete Fourier Series / Sampling and Reconstruction in the z-Domain / The Discrete Fourier Transform / Properties of the Discrete Fourier Transform / Line ar Convolution Using the DFT / The Fast Fourier Transform / Problems
6. DIGITAL FILTER STRUCTURES
Basic Elements / IIR Filter Structures / FIR Filter Structures / Lattice Filter Structures / Problems
7. FIR FILTER DESIGN
Preliminaries / Properties of Linear-Phase FIR Filters / Window Design Technique s / Frequency Sampling Design Techniques / Optimal Equiripple Design Technique / Problems
8. IIR FILTER DESIGN
Some Preliminaries / Characteristics of Prototype Analog Filters / Analog-to-Dig ital Filter Transformations / Lowpass Filter Design Using MATLAB® / Frequency-ba nd Transformations / Comparison of FIR vs. IIR Filters / Problems
9. APPLICATIONS IN ADAPTIVE FILTERING
LMS Algorithm for Coefficient Adjustment / System Identification or System Model ing / Suppression of Narrowband Interference in a Wideband Signal / Adaptive Lin e Enhancement / Adaptive Channel Equalization / Summary
10. APPLICATIONS IN COMMUNICATIONS
Pulse-Code Modulation / Differential PCM (DPCM) / Adaptive PCM and DPCM (ADPCM) / Delta Modulation (DM) / Linear Predictive Coding (LPC) of Speech / Dual-tone M ultifrequency (DTMF) Signals / Binary Digital Communications / Spread-Spectrum C ommunications / Summary / BIBLIOGRAPHY / INDEX