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Titlebook: Applied Mathematics; Data Compression, Sp Charles K. Chui,Qingtang Jiang Textbook 2013 Atlantis Press and the authors 2013 Algorithms and i

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21#
發(fā)表于 2025-3-25 06:46:51 | 只看該作者
22#
發(fā)表于 2025-3-25 11:21:40 | 只看該作者
Entscheidungsmodelle für die SerienfertigungWhen non-periodic functions . are considered as analog signals with time-domain ., the notion of the Fourier transform (FT)
23#
發(fā)表于 2025-3-25 15:20:21 | 只看該作者
Spectral Methods and Applications,The study of linear transformations, eigenvalue problems, and spectral decomposition in Chap.?2 is extended in this chapter to singular value decomposition, principal component analysis, and various operator norms for two areas of applications to data representations.
24#
發(fā)表于 2025-3-25 16:18:02 | 只看該作者
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發(fā)表于 2025-3-25 23:57:47 | 只看該作者
Fourier Time-Frequency Methods,When non-periodic functions . are considered as analog signals with time-domain ., the notion of the Fourier transform (FT)
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發(fā)表于 2025-3-26 00:38:30 | 只看該作者
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發(fā)表于 2025-3-26 09:55:15 | 只看該作者
29#
發(fā)表于 2025-3-26 16:03:13 | 只看該作者
Data Compression,d in this chapter is that compressed data must be recoverable, at least approximately. The most commonly used representation of data (particularly compressed data) for communication and storage is a string of numbers consisting only of zeros, 0’s, and ones, 1’s, without using any punctuation. This s
30#
發(fā)表于 2025-3-26 17:02:38 | 只看該作者
Wavelet Transform and Filter Banks,ble neighborhood of any ., called “region of interest (ROI)” in engineering applications, a suitable window function is used to introduce the localized Fourier transform (LFT) and to construct time-frequency basis functions in Sects.?.?and?., respectively, of the previous chapter.
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