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Multi-window Gabor schemes in signal and image representations
Subject Index. 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.
University researchers, engineers, specialists in numerical applications other than signal and image processing.
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Search for books, journals or webpages All Pages Books Journals. View on ScienceDirect. Authors: Yehoshua Zeevi Ronald Coifman.
Hardcover ISBN: Imprint: Academic Press. Published Date: 9th October Page Count: View all volumes in this series: Wavelet Analysis and Its Applications.
Signal And Image Representation In Combined Spaces Zeevi Yehoshua Coifman Ronald
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Sign In. Access provided by: anon Sign Out. Signal representation in the combined phase-spatial space: reconstruction and criteria for uniqueness Abstract: Motivated by the major roles of the spectral phase in signal structure and by previous results on the importance of localized representation in images, we develop conditions for unique representation of a signal by a combination of its spectral Fourier phase and spatial samples. Methods for signal reconstruction from various combinations of spatial and phase information are introduced.
An Evidence-Based Combining Classifier for Brain Signal Analysis
It is concluded that most of the previous results in the area of phase-only representation and reconstruction are special cases of the general approach presented here. Article :. Date of Publication: Jun