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Itogi Nauki i Tekhniki. Sovremennaya Matematika i ee Prilozheniya. Tematicheskie Obzory, 2019, Volume 160, Pages 126–136
(Mi into431)
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This article is cited in 1 scientific paper (total in 1 paper)
Discrete wavelet transforms in Walsh analysis
Yu. A. Farkov Russian Academy of National Economy and Public Administration under the President of the Russian Federation, Moscow
Abstract:
A review of discrete wavelet transforms defined through Walsh functions and used for image processing, compression of fractal signals, analysis of financial time series, and analysis of geophysical data is presented. Relationships of the discrete transformations considered with wavelet bases recently constructed and frames on the Cantor and Vilenkin groups are noted.
Keywords:
Walsh functions, Haar system, Weierstrass function, wavelet, frame, zero-dimensional group, discrete transformation, image processing, signal coding, analysis of geophysical data.
Citation:
Yu. A. Farkov, “Discrete wavelet transforms in Walsh analysis”, Proceedings of the International Conference on Mathematical Modelling in Applied Sciences ICMMAS-17,
St. Petersburg Polytechnic University, July 24-28, 2017, Itogi Nauki i Tekhniki. Sovrem. Mat. Pril. Temat. Obz., 160, VINITI, Moscow, 2019, 126–136; J. Math. Sci. (N. Y.), 257:1 (2021), 127–137
Linking options:
https://www.mathnet.ru/eng/into431 https://www.mathnet.ru/eng/into/v160/p126
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