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Digital Signal Processing = Theory and Practice /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Digital Signal Processing/ by K. Deergha Rao, M.N.S. Swamy.
Reminder of title:	Theory and Practice /
Author:	Rao, K. Deergha.
other author:	Swamy, M.N.S.
Description:	XXIV, 789 p. 432 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Fourier analysis. -
Online resource:	https://doi.org/10.1007/978-981-10-8081-4
ISBN:	9789811080814

Digital Signal Processing = Theory and Practice /
Rao, K. Deergha.

Digital Signal ProcessingTheory and Practice /[electronic resource] :by K. Deergha Rao, M.N.S. Swamy. - 1st ed. 2018. - XXIV, 789 p. 432 illus.online resource.

Introduction -- Discrete-Time Signals and Systems -- The z-Transforms and Analysis of LTI Systems in Transform Domain -- The Discrete Fourier Transform -- IIR Digital Filter Design -- FIR Digital Filter Design -- Structures for Digital Filters Realization and Finite Word length Effects Analysis -- Basics of Multirate Digital Signal Processing -- Multirate Filter Banks -- Discrete Wavelet Transforms -- Adaptive Digital Filters -- Spectral Analysis of Signals -- DSP Processors.

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.

ISBN: 9789811080814

Standard No.: 10.1007/978-981-10-8081-4doiSubjects--Topical Terms:

639284
Fourier analysis.

LC Class. No.: QA403.5-404.5

Dewey Class. No.: 515.2433

Digital Signal Processing = Theory and Practice /
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505 0 $a Introduction -- Discrete-Time Signals and Systems -- The z-Transforms and Analysis of LTI Systems in Transform Domain -- The Discrete Fourier Transform -- IIR Digital Filter Design -- FIR Digital Filter Design -- Structures for Digital Filters Realization and Finite Word length Effects Analysis -- Basics of Multirate Digital Signal Processing -- Multirate Filter Banks -- Discrete Wavelet Transforms -- Adaptive Digital Filters -- Spectral Analysis of Signals -- DSP Processors.
520 $a 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.
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