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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

  • Textbook
  • © 2019

Overview

Authors:
  1. K.S. Thyagarajan

    1. Extension Program, University of California, San Diego, San Diego, USA

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  • Based on the author’s popular online courses in signal processing at UC San Diego

  • Presents an overview of signal processing, followed by easy to follow instructions without a myriad of complex mathematical derivations

  • Enhanced by the use of MATLAB and a variety of exercises case studies, giving students hands-on experience in designing and processing signals in the digital domain

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • K. S. Thyagarajan
    Pages 1-19

  3. Discrete-Time Signals and Systems

    • K. S. Thyagarajan
    Pages 21-63

  4. Z-Transform

    • K. S. Thyagarajan
    Pages 65-105

  5. Frequency Domain Representation of Discrete-Time Signals and Systems

    • K. S. Thyagarajan
    Pages 107-149

  6. Discrete Fourier Transform

    • K. S. Thyagarajan
    Pages 151-188

  7. IIR Digital Filters

    • K. S. Thyagarajan
    Pages 189-244

  8. FIR Digital Filters

    • K. S. Thyagarajan
    Pages 245-312

  9. Digital Filter Structures

    • K. S. Thyagarajan
    Pages 313-383

  10. Fast Fourier Transform

    • K. S. Thyagarajan
    Pages 385-426

  11. DSP in Communications

    • K. S. Thyagarajan
    Pages 427-494

  12. Back Matter

    Pages 495-505
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Keywords

About this book

This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.

Authors and Affiliations

  • Extension Program, University of California, San Diego, San Diego, USA

    K.S. Thyagarajan

About the author

K.S. Thyagarajan, Ph.D. received his Ph. D. in Electrical Engineering from Concordia University, Montreal, Canada. He is currently a professor at the UCSD Extension Program, teaching an online course in digital signal processing. His previous positions include Chief Scientist at Micro USA, Inc., Consultant at SAIC, Inc., Principal Engineer at Qualcomm, Inc., and Professor at San Diego State University. His previous book publications include Digital Image Processing with Application to Digital Cinema (Elsevier, Inc. 2006) and Still Image and Video Compression with MATLAB (John Wiley 2011).

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