The Nile on eBay FREE SHIPPING UK WIDE Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications by K.S. Thyagarajan
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.
FORMATPaperback LANGUAGEEnglish CONDITIONBrand New Publisher Description
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.
Back 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
Author Biography
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).
Table of Contents
Introduction.- Discrete-Time Signals & Systems.- Z-Transform.- Frequency Domain Representation of Discrete-time Signals & Systems.- Discrete Fourier Transform.- IIR Digital Filters.- FIR Digital Filters.- Digital Filter Structures.- Fast Fourier Transform.- DSP in Communications.- Conclusion.
Long Description
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.
Feature
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 ISBN3030093840 Language English Year 2019 ISBN-10 3030093840 ISBN-13 9783030093846 Format Paperback Author K.S. Thyagarajan DEWEY 004.6 Place of Publication Cham Country of Publication Switzerland Pages 505 Publication Date 2019-01-12 Imprint Springer Nature Switzerland AG UK Release Date 2019-01-12 Illustrations 214 Illustrations, color; 182 Illustrations, black and white; XI, 505 p. 396 illus., 214 illus. in color. Publisher Springer Nature Switzerland AG Edition Description Softcover reprint of the original 1st ed. 2019 Alternative 9783319760285 Audience Professional & Vocational We've got this
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