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Titlebook: Wavelets; Time-Frequency Metho Jean-Michel Combes,Alexander Grossmann,Philippe Tc Conference proceedings 1990Latest edition Springer-Verlag

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61#
發(fā)表于 2025-4-1 03:13:27 | 只看該作者
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發(fā)表于 2025-4-1 20:21:47 | 只看該作者
Wavelet Transform Analysis of Invariant Measures of Some Dynamical Systemsnd to the golden-mean trajectories on two-tori at the onset of chaos. We emphasize the wide range of application of the wavelet transform which turns out to be a natural tool for characterizing the structural properties of fractal objects arising in a variety of physical situations.
66#
發(fā)表于 2025-4-1 22:39:29 | 只看該作者
67#
發(fā)表于 2025-4-2 05:03:25 | 只看該作者
Orthonormal Waveletsy is a written and extended version of a lecture I have been asked to give at the international conference held at Marseille on . (December 14–18, 1987). This conference was a remarkable success. People with distinct scientific educations could communicate and interact, using the new born concept of
68#
發(fā)表于 2025-4-2 10:46:29 | 只看該作者
Orthonormal Waveletsy is a written and extended version of a lecture I have been asked to give at the international conference held at Marseille on . (December 14–18, 1987). This conference was a remarkable success. People with distinct scientific educations could communicate and interact, using the new born concept of
69#
發(fā)表于 2025-4-2 15:01:58 | 只看該作者
Some Aspects of Non-Stationary Signal Processing with Emphasis on Time-Frequency and Time-Scale Methst of the Signal Processing methods which have been proposed in this direction. Emphasis is put on time-frequency representations and on their time-scale versions which implicitly make use of “wavelet” concepts. Relationships between Gabor expansion, wavelet transform and ambiguity functions are det
70#
發(fā)表于 2025-4-2 19:13:25 | 只看該作者
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