Titlebook: Wavelets and Statistics; Anestis Antoniadis,Georges Oppenheim Book 1995 Springer-Verlag New York 1995 Gaussian process.Hypothese.Markov ra

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Locally Self Similar Gaussian Processes,of medical images. In this lecture, we first describe the class of Self Similar Gaussian Processes (SSGP) and give (in one dimension) a multiresolution analysis of the Fractional Brownian Motion of index.(.). We then enlarge the SSGP setting to the elliptic gaussian processes setting.

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WaveLab and Reproducible Research,sions are provided for Macintosh, UNIX and Windows machines... makes available, in one package, all the code to reproduce all the figures in our published wavelet articles. The interested reader can inspect the source code to see exactly what algorithms were used, how parameters were set in producin

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Extrema Reconstructions and Spline Smoothing: Variations on an Algorithm of Mallat & Zhong, These authors construct an approximation of the wavelet transform of the signal via an alternate projection iteration procedure and they obtain an approximation of the original signal by inverting the approximate wavelet transform. We explain how to solve the same problem by directly constructing t

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Identification of Chirps with Continuous Wavelet Transform,resentations such as wavelet representations are well adapted to the characterization problem of such chirps. Ridges in the modulus of the transform determine regions in the transform domain with a high concentration of energy, and are regarded as natural candidates for the characterization and the

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