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Signal and Image Representation in Combined Spaces
By Yehoshua Zeevi and Ronald Coifman
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This volume explains how the recent advances in wavelet analysis provide new means for multiresolution analysis and describes its wide array of powerful tools. The book covers variations of the windowed Fourier transform, constructions of special waveforms suitable for specific tasks, the use of redundant representations in reconstruction and enhancement, applications of efficient numerical compression as a tool for fast numerical analysis, and approximation properties of various waveforms in different contexts.
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Titles in the series (7)
Wavelets: Theory, Algorithms, and Applications Rating: 0 out of 5 stars0 ratingsWavelets: A Tutorial in Theory and Applications Rating: 0 out of 5 stars0 ratingsMultiscale Wavelet Methods for Partial Differential Equations Rating: 0 out of 5 stars0 ratingsSignal and Image Representation in Combined Spaces Rating: 0 out of 5 stars0 ratingsMultirate and Wavelet Signal Processing Rating: 0 out of 5 stars0 ratingsPractical Time-Frequency Analysis: Gabor and Wavelet Transforms, with an Implementation in S Rating: 4 out of 5 stars4/5Time-Frequency/Time-Scale Analysis Rating: 0 out of 5 stars0 ratings
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Signal and Image Representation in Combined Spaces - Yehoshua Zeevi
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