Introduction to digital signal processing using MATLAB with application to digital communications /
By: Thyagarajan, K.S
Material type: BookPublisher: Cham : Springer, c2019.Description: ix, 505 p. : col. ill. ; 22 cm.ISBN: 9783319760285Subject(s): Signal, Image and Speech Processing | Communications Engineering, Networks | Computer Communication Networks | Information Systems and Communication ServiceDDC classification: 621.3822078553042 TH IN Online resources: Location MapItem type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 621.3822078553042 TH IN (Browse shelf) | Available | Jan2019 | T0060947 |
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621.38220151 MO MA Mathematical methods and algorithms for signal processing | 621.3822028553 AL SI Signals and systems : | 621.3822028553 PO UN Understanding digital signal processing with MATLAB and solutions | 621.3822078553042 TH IN Introduction to digital signal processing using MATLAB with application to digital communications / | 621.382223 RA CH Channel coding techniques for wireless communications | 621.38223 SP ST Statistical signal processing in engineering / | 621.38224 PA IN Interference analysis : |
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.