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003			IN-BhIIT
005			20220315121447.0
008			200826b ||||| |||| 00| 0 eng d
020			_a9780817684174
040			_aIN-BhIIT
041			_aeng
082			_a621.3822 _bDEB/W
100			_aDebnath, Lokenath _eauthor _91525
245			_aWavelet transforms and their applications/ _cby Lokenath Debnath; Firdous Ahmad Shah
260			_aNew York : _bBirkhäuser, _c2015.
300			_axv,553p. _c23 c.m
520			_aThis 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. Numerous standard and challenging topics, applications, and exercises are included in this edition, which will stimulate research interest among senior undergraduate and graduate students. The book contains a large number of examples, which are either directly associated with applications or formulated in terms of the mathematical, physical, and engineering context in which wavelet theory arises. Topics and Features of the Second Edition: · Expanded and revised the historical introduction by including many new topics such as the fractional Fourier transform, and the construction of wavelet bases in various spaces other than and several new extensions of the original multiresolution analysis. · Extensions of the classical theory of multiresolution analysis consisting of?-multiresolution analysis on the positive half-line and non-uniform multiresolution analysis. · 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 · Completely updated bibliography and enlarged index 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.
650			_aWavelets (Mathematics) Signal processing -- Mathematics. _vOndelettes. _914312
700			_aShah, Firdous Ahmad _eauthor _914313
942			_cTRB _01
999			_c11206 _d11206