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Titlebook: Wavelet Transforms and Time-Frequency Signal Analysis; Lokenath Debnath Book 2001 Springer Science+Business Media New York 2001 Fourier an

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樓主: 尤指植物
41#
發(fā)表于 2025-3-28 16:11:16 | 只看該作者
Osiris Wavelets and the Dipole Gasr we introduce them in two dimensions. Sobolev orthogonality breaks down only between adjacent length scales for these wavelets, and we derive a positive lower bound on the overlap matrix. In the case of the dipole gas we also derive the hierarchical reduction of the renormalization group transformation for this wavelet modeling.
42#
發(fā)表于 2025-3-28 21:11:29 | 只看該作者
Osiris Wavelets and the Dipole Gasr we introduce them in two dimensions. Sobolev orthogonality breaks down only between adjacent length scales for these wavelets, and we derive a positive lower bound on the overlap matrix. In the case of the dipole gas we also derive the hierarchical reduction of the renormalization group transformation for this wavelet modeling.
43#
發(fā)表于 2025-3-29 00:35:31 | 只看該作者
Inequalities in Mellin-Fourier Signal Analysishich are applied directly to joint scale-frequency distributions. A simple way of obtaining inequalities for Altes-type distributions is pointed out, new results pertaining to the unitary Bertrand distribution are established, as well as a new form of uncertainty relation for the wavelet transform.
44#
發(fā)表于 2025-3-29 03:18:55 | 只看該作者
45#
發(fā)表于 2025-3-29 09:12:11 | 只看該作者
978-1-4612-6629-7Springer Science+Business Media New York 2001
46#
發(fā)表于 2025-3-29 11:54:19 | 只看該作者
Wavelet Transforms and Time-Frequency Signal Analysis978-1-4612-0137-3Series ISSN 2296-5009 Series E-ISSN 2296-5017
47#
發(fā)表于 2025-3-29 17:12:21 | 只看該作者
48#
發(fā)表于 2025-3-29 22:51:18 | 只看該作者
49#
發(fā)表于 2025-3-30 03:30:41 | 只看該作者
50#
發(fā)表于 2025-3-30 04:23:41 | 只看該作者
Denoising via Nonorthogonal Wavelet Transformsvelet transforms can be transfered to the case of using nonorthogonal wavelet transforms. We review the Donoho—Johnstone method and discuss the three topics “threshold-selection,” “L.-approximation,” and “smoothness characterization” for biorthogonal and redundant wavelet transforms.
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