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Wavelets and multi-resolution analysisa signal processing approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wavelets and multi-resolution analysisby M S Sinith, Gayathri A, Chithra K R.
Reminder of title:	a signal processing approach /
Author:	Sinith, M. S.
other author:	Gayathri A.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	vii, 206 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Wavelets (Mathematics)
Online resource:	https://doi.org/10.1007/978-3-031-92750-8
ISBN:	9783031927508$q(electronic bk.)

Wavelets and multi-resolution analysisa signal processing approach /
Sinith, M. S.

Wavelets and multi-resolution analysisa signal processing approach /[electronic resource] :by M S Sinith, Gayathri A, Chithra K R. - Cham :Springer Nature Switzerland :2025. - vii, 206 p. :ill., digital ;24 cm.

Introduction -- Signal Space Concept -- Introduction to Wavelet Transform -- Multiresolution Analysis -- Discrete Wavelet Transform and Filter Bank Theory -- Wavelet Design Using Regularity and Moments -- Biorthogonal Wavelets -- Wavelet Construction -- Applications of Wavelet Transform -- Optimization Methods for Wavelet Design -- Conclusion.

This book provides a comprehensive overview of wavelets starting from the fundamentals of signal analysis using wavelets, to cutting edge technologies like optimum wavelet design for specific applications. To introduce different concepts the authors have used narrative and real world examples with illustrative drawings that enable the reader to visualise the concepts. The book features a mathematical tool for analysing signals with variable resolution in the time and frequency domain. The authors have used simple, innovative and illustrative methods and examples for explaining different concepts. The Matlab programs, included in each chapter, help to give insights into various engineering problems in signal processing. This book can be used by practicing researchers, engineers, and undergraduate or postgraduate level students for computer science and allied courses. Introduces the basic concepts of wavelets and multi-resolution analysis using real world examples; Includes current research in the field along with specific examples from audio processing; Features technologies like optimum wavelet design for specific applications.

ISBN: 9783031927508$q(electronic bk.)

Standard No.: 10.1007/978-3-031-92750-8doiSubjects--Topical Terms:

182734
Wavelets (Mathematics)

LC Class. No.: QA403.3

Dewey Class. No.: 515.2433

Wavelets and multi-resolution analysisa signal processing approach /
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245 1 0 $a Wavelets and multi-resolution analysis $h [electronic resource] : $b a signal processing approach / $c by M S Sinith, Gayathri A, Chithra K R.
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300 $a vii, 206 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Signal Space Concept -- Introduction to Wavelet Transform -- Multiresolution Analysis -- Discrete Wavelet Transform and Filter Bank Theory -- Wavelet Design Using Regularity and Moments -- Biorthogonal Wavelets -- Wavelet Construction -- Applications of Wavelet Transform -- Optimization Methods for Wavelet Design -- Conclusion.
520 $a This book provides a comprehensive overview of wavelets starting from the fundamentals of signal analysis using wavelets, to cutting edge technologies like optimum wavelet design for specific applications. To introduce different concepts the authors have used narrative and real world examples with illustrative drawings that enable the reader to visualise the concepts. The book features a mathematical tool for analysing signals with variable resolution in the time and frequency domain. The authors have used simple, innovative and illustrative methods and examples for explaining different concepts. The Matlab programs, included in each chapter, help to give insights into various engineering problems in signal processing. This book can be used by practicing researchers, engineers, and undergraduate or postgraduate level students for computer science and allied courses. Introduces the basic concepts of wavelets and multi-resolution analysis using real world examples; Includes current research in the field along with specific examples from audio processing; Features technologies like optimum wavelet design for specific applications.
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