The DSP Handbook: Algorithms, Applications and Design Techniques is written as a clear and accessible guide to digital signal processing and its applications. It provides you with the training, tools and building blocks necessary to assess and unlock the potential of DSP. Authors Andrew Bateman and Iain Paterson-Stephens have set out to accomplish this in a manner that is easy to digest, simple to navigate and uniquely "hands on". No other DSP text on the market has the breadth of real-time examples, graphical visualization, or practical algorithm libraries found in this book.
This book is suitable for both classroom use and self-study. Mathematical analysis is as clear and concise as possible; and real-time examples are liberally provided throughout the text. Students encountering communications topics for the first time, practising engineers and managers will all appreciate the stimulating and motivational treatment of the subject.
Hardcover, 640 pages
- Numerous design tips are provided, describing the "tricks of the trade".
- Contains many written examples and descriptions of devices for most mainstream DSP manufacturers (Motorola, TI, Analog Devices, etc.).
- Real-time audio and visual DSP examples enable readers to experience the power and application of DSP from the very beginning.
- Provides a self-study course in DSP that will appeal to students, young professionals and professional engineers alike.
- Four algorithm-packed "toolboxes" allow easy access to particular algorithms/models of interest.
- Executable code examples can be downloaded from the associated web site,
- 1. DSP - What is it?
- 2. Designing With DSP - What's required?
- 3. DSP Devices - What's inside?
- 4. DSP Systems - An Overview
- 5. DSP Algorithm Toolbox - Making It Happen
- 6. Applications Toolbox I: General Purpose
- 7. Applications Toolbox Ii: Filter Design
- 8. Applications Toolbox Iii: Spectral Analysis
- 9. Applications Toolbox IV: Specialist Applications
- 10. Theory Behind the Algorithms - How Do They Work?
- 11. Putting it all Together - Case Studies
- Appendix 1: Useful trigonometric identities and series expansions
- Appendix 2: Derivation of continuous signal correlation and spectral density functions from samples
About the Authors
Andrew Bateman is currently CEO of Avren Ltd., a wireless/DSP consultancy. He was formerly a founder and Director of Wireless Systems International Ltd. and a Professor of Signal Processing at the University of Bristol. He now undertakes training and consultancy for clients around the world.
Iain Paterson-Stephens is a Senior Lecturer in Digital Signal Processing at the University of Derby. He is also the Director of the Signal Processing Applications Research Group and program leader for the M.S. Digital Audio Systems program. He is actively involved in consultancy, system development and design, and training.