Digital Signal Processing
Theory and Practice
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Beschreibung
The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter. Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers toeasily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.
The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter.
Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.
Offers comprehensive exposition of all major topics in digital signal processing (DSP) Allows readers to gain an understanding of the fundamentals, design, implementation, and applications of the DSP Includes MATLAB applications for various concepts Collects complete design examples and practical implementation details such as assembly language and C language programs for DSP processors Illustrates DSP techniques and concepts with several fully worked numerical examples
Autor*in
K. Deergha Rao
Themen in »Digital Signal Processing«
Digital Signal Processing DSP textbook IIR Filter FIR Filter DTFT Phase Equalization Wireless Communications Fourier Transform Lattice Structure Multirate Digital Signal Processing Multirate Filter Banks STFT DSP Processors information and communication, circuits
Stimmen zu »Digital Signal Processing«
“The book is intended to present fundamentals aspects regarding the use of the concepts of signal and system in engineering. … The book is clearly written and addressed to undergraduate students. It represents a good introduction to further reading in communication systems, digital signal processing, control etc” (Liviu Goraş, zbMATH 1396.94001, 2018)
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