Digital Signal Processors
Architectures, Implementations, and Applications: International Edition
Pearson (Publisher)
Published on 22. April 2004
Book
Mixed media product
624 pages
978-0-13-127766-3 (ISBN)
Article exhausted; check for reprint
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
Professional and scholarly
Dimensions
Height: 235 mm
Width: 177 mm
Thickness: 22 mm
Weight
897 gr
ISBN-13
978-0-13-127766-3 (9780131277663)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Sen M. Kuo | Woon-Seng S. Gan
Digital Signal Processors
Architectures, Implementations, and Applications: United States Edition
Book
04/2004
Pearson
€97.79
Article is exhausted; no 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.