Digital Signal Processing Using Matlab And Wavelets (Electrical Engineering)

text is not incredibly thourough or rigorous. Introduces some concepts like FFT without explaining them fully, leaving that for later sections. If buying for a class you've not much choice, if buying for reference or personal study I'd look elsewhere.

Although DSP Has Long Been Considered An EE Topic, Recent Developments Have Also Generated Significant Interest From The Computer Science Community. DSP Applications In The Consumer Market, Such As Bioinformatics, The MP3 Audio Format, And MPEG-Based Cable/Satellite Television Have Fueled A Desire To Understand This Technology Outside Of Hardware Circles.

Designed For Upper Division Engineering And Computer Science Students As Well As Practicing Engineers, Digital Signal Processing Using Matlab And Wavelets Emphasizes The Practical Applications Of Signal Processing. Over 100 Matlab Projects And Wavelet Techniques Provide The Latest Applications Of DSP, Including Image Processing, Games, Filters, Transforms, Networking, Parallel Processing, And Sound.

The Book Also Provides The Mathematical Processes And Techniques Needed To Ensure An Understanding Of DSP Theory. Designed To Be Incremental In Difficulty, The Book Will Benefit Readers Who Are Unfamiliar With Complex Mathematical Topics Or Those Limited In Programming Experience. Beginning With An Introduction To Matlab Programming, It Moves Through Filters, Sinusoids, Sampling, The Fourier Transform, The Z Transform And Other Key Topics. An Entire Chapter Is Dedicated To The Discussion Of Wavelets And Their Applications. A CD-ROM (Platform Independent) Accompanies The Book And Contains Source Code, Projects, And Microsoft® Powerpoint Slides.

Cover 1 License 3 Copyright 5 Table of Contents 8 List of Figures 14 List of Tables 20 Preface 22 Chapter 1 26 Chapter 2 54 Chapter 3 110 Chapter 4 158 Chapter 5 184 Chapter 6 212 Chapter 7 250 Chapter 8 278 Chapter 9 300 Chapter 10 364 Appendix A 424 Appendix B 428 Appendix C 436 Appendix D 440 Appendix E 442 Appendix F 464 Bibliography 470 Index 474 Back Cover 478 With emphasis on the practical applications of signal processing, this book is designed for upper division engineering & computer sciences students as well as practicing engineers.