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Titlebook: Wavelets and Their Applications; J. S. Byrnes,Jennifer L. Byrnes,Karl Berry Book 1994 Springer Science+Business Media Dordrecht 1994 Fouri

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书目名称Wavelets and Their Applications
编辑J. S. Byrnes,Jennifer L. Byrnes,Karl Berry
视频video
丛书名称Nato Science Series C:
图书封面Titlebook: Wavelets and Their Applications;  J. S. Byrnes,Jennifer L. Byrnes,Karl Berry Book 1994 Springer Science+Business Media Dordrecht 1994 Fouri
描述It is probably true quite generally that in the history of human thinking the most fruitful developments frequently take place at those points where two different lines of thought meet. Hence, if they actually meet, that is, if they are at least so much related to each other that a real interaction can take place, then one may hope that new and interesting developments may follow. Werner Heisenberg This volume contains papers presented at the August 1992 NATO Advanced Study Institute on Wavelets and Their Applications. The conference was held at the beautiful Il Ciocco resort near Lucca, in the glorious Tuscany region of northern Italy. Once again we gathered at this idyllic spot to explore and extend the reciprocity between mathematics and engineering. The dynamic interaction between world-renowned scientists from the usu­ ally disparate communities of pure mathematicians and applied scientists, which occurred at our 1989 and 1991 ASI‘s, continued at this meeting. Wavelet theory and technology is in an important growth stage at which theoretical and practical results are being compared with existing methods. There have been spectacular wavelet successes and sobering comparisons wi
出版日期Book 1994
关键词Fourier analysis; Fourier series; Fourier transform; Singular integral; Theoretical physics; data compres
版次1
doihttps://doi.org/10.1007/978-94-011-1028-0
isbn_softcover978-94-010-4448-6
isbn_ebook978-94-011-1028-0Series ISSN 1389-2185
issn_series 1389-2185
copyrightSpringer Science+Business Media Dordrecht 1994
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Some remarks about the scalograms of wavelet transform coefficients,onsists of looking for some characteristic time-scales in the data. One time-scale is, for instance, the mean period between events in the signal (T); another deals with the mean duration of the same events (D in Figure 1.1).
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