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The mathematical theory of wavelets was developed by Yes Meyer and many collaborators about ten years ago. It was designed for approximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, and image and signal processing. Five years ago wavelet theory progressively appeared to be a powerful framework for nonparametric statistical problems. Efficient computation implementations are beginning to surface in the nineties. This book brings toghether these three streams of wavelet theory and introduces the novice in this field to these aspects. Readers interested in the theory and construction of wavelets will find in a condensed form results that are scattered in the research literature. A practitioner will be able to use wavelets via the available software code.

Wavelets, Approximation, and Statistical Applications 2025 pdf epub mobi 電子書 下載

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發表於2025-01-27

Wavelets, Approximation, and Statistical Applications 2025 pdf epub mobi 電子書 下載

Wavelets, Approximation, and Statistical Applications 2025 pdf epub mobi 電子書 下載

Wavelets, Approximation, and Statistical Applications 2025 pdf epub mobi 電子書 下載

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