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Digital Signal Processing. Principles, Algorithms and System Design

โœ Scribed by Winser Alexander and Cranos M. Williams (Auth.)


Publisher
Academic Press
Year
2016
Tongue
English
Leaves
615
Edition
1st Edition
Category
Library

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โœฆ Synopsis


Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text. However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications.

Digital Signal Processing: Principles, Algorithms and System Designprovides an introduction to the principals of digital signal processing along with a balanced analytical and practical treatment of algorithms and applications for digital signal processing. It is intended to serve as a suitable text for a one semester junior or senior level undergraduate course. It is also intended for use in a following one semester first-year graduate level course in digital signal processing. It may also be used as a reference by professionals involved in the design of embedded computer systems, application specific integrated circuits or special purpose computer systems for digital signal processing, multimedia, communications, or image processing.

โœฆ Table of Contents


Content:
Title Page,Copyright,List of Tables,List of Figures,About the Authors,PrefaceEntitled to full textChapter 1 - Introduction to Digital Signal Processing, Pages 1-17
Chapter 2 - Fundamental DSP Concepts, Pages 19-157
Chapter 3 - Frequency Domain Analysis, Pages 159-204
Chapter 4 - Design of Digital Filters, Pages 205-275
Chapter 5 - Implementation of Discrete Time Systems, Pages 277-350
Chapter 6 - Finite Word Length Effects, Pages 351-388
Chapter 7 - Multirate Digital Signal Processing, Pages 389-454
Chapter 8 - Digital Signal Processing Systems Design, Pages 455-517
Chapter 9 - Hardware Implementation, Pages 519-542
Chapter 10 - Multidimensional Discrete Time Systems, Pages 543-561
Appendix A - Matlab Code for Chapter 3, Page 563
Appendix B - Matlab Code for Chapter 4, Page 565
Appendix C - Matlab Code for Chapter 5, Pages 567-569
Appendix D - Matlab Code for Chapter 6, Pages 571-576
Appendix E - Matlab Code for Chapter 7, Pages 577-578
Appendix F - Matlab Code for Chapter 8, Pages 579-586
Appendix G - Matlab Code for Chapter 9, Pages 587-599
Bibliography, Pages 601-602
Index, Pages 603-604

โœฆ Subjects


Home;Books & Journals;Computer Science;Signal Processing;Electromagnetics, Signal Processing and Communications;Digital Signal Processing


๐Ÿ“œ SIMILAR VOLUMES


Digital Signal Processing: Principles, A
โœ John G. Proakis, Dimitris K Manolakis ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐Ÿ› Prentice Hall ๐ŸŒ English

Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications. Covering both time-domain and frequency- domain methods for the analysis of linear