Digital Signal Processors
Architectures, Implementations, and Applications: United States Edition
Published on 23. April 2004
Book
Mixed media product
624 pages
978-0-13-035214-9 (ISBN)
Description
For senior/graduate courses in Digital Signal Processing.
This text offers students a hands-on approach to understanding architecture and programming of DSP processors, and the design of real-time DSP systems. It contains real-world applications, and implementation of DSP algorithms using both the fixed-point and floating-point processors.
This text offers students a hands-on approach to understanding architecture and programming of DSP processors, and the design of real-time DSP systems. It contains real-world applications, and implementation of DSP algorithms using both the fixed-point and floating-point processors.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 188 mm
Width: 243 mm
Thickness: 29 mm
Weight
1072 gr
ISBN-13
978-0-13-035214-9 (9780130352149)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Sen M. Kuo | Woon-Seng S. Gan
Digital Signal Processors
Architectures, Implementations, and Applications: International Edition
Book
04/2004
Pearson
€65.76
Article exhausted; check for reprint
Content
1. Introduction to DSP Systems.
2. Fundamentals of Digital Signal Processing.
3. Implementation Considerations.
4. Fixed-Point DSP Processors.
5. Floating-Point DSP Processors.
6. FIR Filtering.
7. IIR Filtering.
8. Fast Fourier Transforms.
9. Adaptive Filtering.
Appendix A. Introduction to MATLAB and Simulink.
Appendix B. Additional Hands-on Experiments and Applications.
Appendix C. Description of Files in Companion CD and Website.
Index.
2. Fundamentals of Digital Signal Processing.
3. Implementation Considerations.
4. Fixed-Point DSP Processors.
5. Floating-Point DSP Processors.
6. FIR Filtering.
7. IIR Filtering.
8. Fast Fourier Transforms.
9. Adaptive Filtering.
Appendix A. Introduction to MATLAB and Simulink.
Appendix B. Additional Hands-on Experiments and Applications.
Appendix C. Description of Files in Companion CD and Website.
Index.