Digital Signal Processing

Emmanuel C. Ifeachor

ISBN 10: 0201596199 / ISBN 13: 9780201596199

Published by Pearson Education (US), 2001

About this Item

2001. 2nd Edition. Hardcover. Provides practical coverage of the fundamentals of digital signal processing (DSP). This text also provides insight and guidance on how to use DSP techniques in order to design real engineering systems. It covers a number of DSP techniques, such as adaptive filtering and multirate processing. Num Pages: 960 pages, illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 242 x 196 x 51. Weight in Grams: 1450. . . . . . Books ship from the US and Ireland.

Seller Inventory # V9780201596199

Bibliographic Details

• Title: Digital Signal Processing
• Publisher: Pearson Education (US)
• Publication Date: 2001
• Language: English
• ISBN 10: 0201596199
• ISBN 13: 9780201596199
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

Modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view.

The past ten years has seen a significant growth in DSP applications throughout all areas of technology and this growth is expected well into the next millennium. This successful textbook covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. Unlike many other texts, it also covers a number of DSP techniques which are of particular relevance to industry such as adaptive filtering and multirate processing. The emphasis throughout the book is on the practical aspects of DSP.

About the Author

Emmanuel Ifeachor is Professor of Intelligent Electronic Systems and Director of the Centre for Communications, Networks and Information Systems at the University of Plymouth, UK.

Barrie Jervis is Professor of Electronic Engineering at Sheffield Hallam University, UK.

This book evolved from the authors' extensive experience in teaching practically oriented courses in DSP to both undergraduates and engineers in industry. Their own research in applied DSP has influenced the contents of the book and provided many of the examples and case studies.