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Product Description
Product Description
Digital Signal Processing: Concepts and Applications, second edition covers the basic principles and operation of DSP devices. Its aim is to give the student the essentials of this mathematical subject in a form that can be easily understood and assimilated. The text concentrates on discrete systems, starting from digital filters and discrete Fourier transforms. These are then extended into adaptive filters and spectrum analysers with the minimum of mathematical derivation, concentrating on demonstrating the performance which is achievable from these processors in communications and radar system applications. This new edition has been updated to include learning outcomes and summaries and provide more examples. The text has been completely redesigned and is presented in a clear and easy-to-read style.
Key features:
* Self assessment questions within the text, with answers provided
* Numerous practical worked examples on processor design and performance simulation
* MATLAB® code for animated simulations available to students via World Wide Web access
This textbook is appropriate for undergraduate and MSc courses in signals and systems and signal processing, and for professional engineers who wish to have a simple, easy-to-read reference book on DSP techniques.
Key features:
* Self assessment questions within the text, with answers provided
* Numerous practical worked examples on processor design and performance simulation
* MATLAB® code for animated simulations available to students via World Wide Web access
This textbook is appropriate for undergraduate and MSc courses in signals and systems and signal processing, and for professional engineers who wish to have a simple, easy-to-read reference book on DSP techniques.
About the Author
BERNARD MULGREW is Chair of Signals and Systems in the Department of Electronics and Electrical Engineering at the University of Edinburgh.
PETER GRANT is Head of Department and Professor of Electronic Signal Processing in the Department of Electronics and Electrical Engineering at the University of Edinburgh.
JOHN THOMPSON is a Lecturer in the Department of Electronics and Electrical Engineering at the University of Edinburgh.
PETER GRANT is Head of Department and Professor of Electronic Signal Processing in the Department of Electronics and Electrical Engineering at the University of Edinburgh.
JOHN THOMPSON is a Lecturer in the Department of Electronics and Electrical Engineering at the University of Edinburgh.
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Customer Reviews
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
This book serves a two-fold purpose. It is a smooth introduction in Signals and Systems in chapters 1 to 4. The DSP flavor dominates from chapter 5 and on. I strongly recommend it for undergraduate study of the topic. The math level is set to an optimum level. Not too complex to baffle the reader and not too shallow just to make it a happy ride. Proffesors Mulgrew, Grant and Thompson did an excellent job in their effort to underline and explain the physical and practical meaning of various DSP concepts. I think this is the main advantage of this book. Also, the accompanying matlab package is very helpful and the code is well written. The newcomer can benefit a lot from the MATLAB programming style of the authors. Again, an excellent introductory DSP text.
Contents:
Introduction
Chapter 1: Signal Representation and System Response.
Chapter 2: Time-Domain Description and Convolution.
Chapter 3: Transfer Function and System Characterization.
Chapter 4: Sampled Data Systems and the z-transform.
Chapter 5: IIR Digital Filters.
Chapter 6: FIR Digital Filters.
Chapter 7: Analysis of Random Signals.
Chapter 8: Adaptive Filters.
Chapter 9: The Fourier Transform and Spectral Analysis.
Chapter 10: The Fast Fourier Transform (FFT).
Chapter 11: Multirate Signal Processing.
Appendix A: Matrix Theory Revision.
Appendix B: Signal Transforms
Solutions to self-assessment questions.
DSP Bibliography.
Index.
After reading this text the interested reader may turn to more advanced texts like Haykin's "Adaptive Filter Theory" or Oppenheim & Schafer's Discrete-Time Signal Processing.
Contents:
Introduction
Chapter 1: Signal Representation and System Response.
Chapter 2: Time-Domain Description and Convolution.
Chapter 3: Transfer Function and System Characterization.
Chapter 4: Sampled Data Systems and the z-transform.
Chapter 5: IIR Digital Filters.
Chapter 6: FIR Digital Filters.
Chapter 7: Analysis of Random Signals.
Chapter 8: Adaptive Filters.
Chapter 9: The Fourier Transform and Spectral Analysis.
Chapter 10: The Fast Fourier Transform (FFT).
Chapter 11: Multirate Signal Processing.
Appendix A: Matrix Theory Revision.
Appendix B: Signal Transforms
Solutions to self-assessment questions.
DSP Bibliography.
Index.
After reading this text the interested reader may turn to more advanced texts like Haykin's "Adaptive Filter Theory" or Oppenheim & Schafer's Discrete-Time Signal Processing.
2 of 6 people found the following review helpful
The author doesn't use complicated jargons or long winded mathematical formulaes to confuse the readers !! Thumbs up for this book !!
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