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Titlebook: Searching Multimedia Databases by Content; Christos Faloutsos Book 1996 Kluwer Academic Publishers 1996 Access.DBMS.Fourier analysis.Mappi

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21#
發(fā)表于 2025-3-25 05:30:56 | 只看該作者
22#
發(fā)表于 2025-3-25 09:21:07 | 只看該作者
23#
發(fā)表于 2025-3-25 15:29:10 | 只看該作者
Fourier Analysisevery continuous function can be considered as a sum of sinusoidal functions. For the discrete case, which is the one of interest to us, the n-point Discrete Fourier Transform [OS75] of a signal. is defined to be a sequence . of n complex numbers ., given by . where . is the imaginary unit ..
24#
發(fā)表于 2025-3-25 18:20:11 | 只看該作者
Waveletshe DFT and the DCT transform, it has non-zero amplitudes in all frequencies. Thus, what would take a single number to describe in the time domain, will require several numbers in the frequency domain. The problem is that the DFT has no temporal locality: each of its coefficients provide information
25#
發(fā)表于 2025-3-25 23:47:52 | 只看該作者
26#
發(fā)表于 2025-3-26 03:37:20 | 只看該作者
27#
發(fā)表于 2025-3-26 07:26:41 | 只看該作者
1386-2944 background information for the reader and presenting italong with the intuition and mechanics of the best existing tools ineach area. .The first half of .Searching Multimedia Databases by Content.reviews the most successful database access methods, in increasingcomplexity, reaching up to spatial acc
28#
發(fā)表于 2025-3-26 11:40:02 | 只看該作者
29#
發(fā)表于 2025-3-26 15:53:22 | 只看該作者
30#
發(fā)表于 2025-3-26 18:59:47 | 只看該作者
Waveletsut that instant (but no information about frequencies). The DFT has coefficients that give full information about a given frequency, but it needs all the frequencies to recover the value at a given instant in time. The SWFT is somewhere in between.
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