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The DSP Handbook: Algorithms, Applications and Design Techniques
- By Andy Bateman, Iain Paterson-Stephens
- Published Oct 16, 2002 by Pearson.
Book
- This product currently is not for sale.
About
Features
- Written by practicing DSP designers for DSP engineers and brings all of this experience to bear.
- Frequent design tips are provided, describing the 'tricks of the trade' .
- Contains many written examples and descriptions of devices for most of the mainstream DSP manufacturers (Motorola, Texas Instruments, Analogue Devices).
- From the very beginning, readers can experience the power and application of DSP, brought to life at their own PC terminal. There are Real Time Audio and Visual DSP Examples.
- Executable Code Example All of these programs can be downloaded from the Digital Signal Processing, Applications, Design & Implementation website.
- SI units used throughout.
Description
- Copyright 2002
- Dimensions: S
- Pages: 696
- Edition: 1st
- Book
- ISBN-10: 0-201-39851-6
- ISBN-13: 978-0-201-39851-9
Digital Signal Processing Design, Applications, Design & Implementation, provides the reader with the training, the tools and the building blocks necessary to assess and then unlock the potential of DSP in their own products and services. Bateman and Paterson-Stephens have set out to accomplish this in a manner that is both 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 visualisation, or practical algorithm libraries (ToolBoxes) to be found here. The balance of the book is towards a descriptive and visual explanation of the subject matter. Mathematical analysis is provided, where appropriate, in a concise and manageable format. For Further learning resourses in this area please visit: http://www.dspstore.com/
Sample Content
Table of Contents
1. DSP - What is it?
2. Designing With DSP - What's required?
3. DSP Devices - What's inside?
4. DSP Systems - An Overview DSP Algorithm Toolbox - Making It Happen.
5. Applications Toolbox I: General Purpose.
6. Applications Toolbox Ii: Filter Design.
7. Applications Toolbox Iii: Spectral Analysis.
8. Applications Toolbox IV: Specialist Applications.
9. Theory Behind the Algorithms - How Do They Work?
10. 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.