Product Description

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.

Product Details

• Amazon Sales Rank: #228443 in Books
• Published on: 2001-10-18
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 960 pages

From the Back Cover
The second edition of this popular text continues to provide practical coverage of the fundamentals of digital signal processing (DSP) using real-world applications and practical examples to illustrate key topics. Bridging the gap between theory and practice, the text also provides insight and guidance on how to use DSP techniques in order to design real engineering systems. This edition has been updated to include new topics of increasing importance to industry, as well as revising existing material to ensure currency and maximise clarity. MATLAB-based examples and exercises are now provided with the text and further problems have been added. This practical, introductory text covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. It additionally covers a number of DSP techniques, such as adaptive filtering and multirate processing, which are of particular relevance to those in industry or undertaking advanced studies. Key features
Practical examples and real-world applications illustrate DSP techniques
Mathematical content reduced to that necessary for comprehension
C language implementation of many DSP algorithms and functionsNew to this edition
MATLAB-based examples and exercises included throughout
Coverage of analogue I/O interface techniques for real-time DSP systems
Increased coverage of new DSP processor architectures and hardware
New topics on system identification, deconvolution, wavelet transform and parametric spectrum analysis
Provides practical guidance and examples for DSP systems design
Includes current applications in audio, medical and telecommunications engineeringEmmanuel 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.

Customer Reviews

A Good Reference Book
This is not a really a first book on DSP because it is so big. It is a very detailed reference book, being strong on implementation and fills the gaps left by many other text books.

If you are implementing IIR filters, then the book gives lots of food for thought on how it can all go wrong.

The section on adaptive filtering is particulary good, giving details of more than six schemes.

Writing style is clear and does not send you to sleep.

Minus points: Uses Matlab a lot, so if you don't have it, certain parts of the text are not applicable. Hence the loss of one star!

Conclusion: A good detailed DSP text book.

A really good book
I found the book a really good introduction to DSP. I used the book as part of a DSP course at Leeds Metropolitan University. I also got hold of some of the software used in the book - 'C' programs (and .exe files too). I would wholeheartedly recommend this book. Many other books get too theoretical. Yes this book is not without Mathematics, but I found the book readable and very useful.

Great, analytical insight to DSP
This broad subject is well covered in a simple way with good mathemtaical and analytical examples and discussions. Well pitched for an engineering degree or anyone who wishes to understand the theory and workings behind DSP.