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Wavelet Transforms and Their Applications : Engineering (R0) - Lokenath Debnath

Wavelet Transforms and Their Applications

By: Lokenath Debnath, Firdous Ahmad Shah

eText | 25 November 2014 | Edition Number 2

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This textbook is an introduction to wavelet transforms and accessible to a larger audience with diverse backgrounds and interests in mathematics, science, and engineering. Emphasis is placed on the logical development of fundamental ideas and systematic treatment of wavelet analysis and its applications to a wide variety of problems as encountered in various interdisciplinary areas. Topics and Features: * This second edition heavily reworks the chapters on Extensions of Multiresolution Analysis and Newlands's Harmonic Wavelets and introduces a new chapter containing new applications of wavelet transforms * Uses knowledge of Fourier transforms, some elementary ideas of Hilbert spaces, and orthonormal systems to develop the theory and applications of wavelet analysis * Offers detailed and clear explanations of every concept and method, accompanied by carefully selected worked examples, with special emphasis given to those topics in which students typically experience difficulty * Includes carefully chosen end-of-chapter exercises directly associated with applications or formulated in terms of the mathematical, physical, and engineering context and provides answers to selected exercises for additional help Mathematicians, physicists, computer engineers, and electrical and mechanical engineers will find Wavelet Transforms and Their Applications an exceptionally complete and accessible text and reference. It is also suitable as a self-study or reference guide for practitioners and professionals.

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Non-FictionEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringOther Technologies & Applied SciencesApplied OpticsImaging Systems & TechnologyMathematicsCalculus & Mathematical AnalysisFunctional Analysis & TransformsApplied MathematicsComputing & I.T.
Computer ScienceImage ProcessingDigital Signal Processing (DSP)

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