Digital Signal Processing with Matlab / Edition 2

Digital Signal Processing with Matlab / Edition 2

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by Vinay K. Ingle, John G. Proakis
     
 

ISBN-10: 0495073113

ISBN-13: 9780495073116

Pub. Date: 08/10/2006

Publisher: CL-Engineering

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

Overview

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).

Product Details

ISBN-13:
9780495073116
Publisher:
CL-Engineering
Publication date:
08/10/2006
Series:
BookWare Companion Ser
Edition description:
2ND
Pages:
624
Product dimensions:
7.30(w) x 9.20(h) x 1.10(d)

Table of Contents

Preface. 1. Introduction. 2. Discrete-Time Signals and Systems. 3. The Discrete-Time Fourier Analysis. 4. The z-Transform. 5. The Discrete Fourier Transform. 6. Digital Filter Structures. 7. FIR Filter Design. 8. IIR Filter Design. 9. Applications in Adaptive Filtering. 10. Applications in Communications. Bibliography. Index.

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