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Introduction to Digital Signal Processing Using MATLAB with Application to
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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications Paperback - 2019

by K. S. Thyagarajan

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From the publisher

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.

From the rear cover

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.
  • 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

Details

  • Title Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications
  • Author K. S. Thyagarajan
  • Binding Paperback
  • Pages 505
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2019-01-12
  • Illustrated Yes
  • Features Illustrated
  • ISBN 9783030093846 / 3030093840
  • Weight 1.59 lbs (0.72 kg)
  • Dimensions 9.21 x 6.14 x 1.05 in (23.39 x 15.60 x 2.67 cm)
  • Category Technology & Industrial Arts
  • Dewey Decimal Code 004.6

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

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

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

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