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Titlebook: Noise Reduction by Wavelet Thresholding; Maarten Jansen Book 2001 Springer Science+Business Media New York 2001 MATLAB.Markov.Regression.S

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21#
發(fā)表于 2025-3-25 07:20:35 | 只看該作者
The minimum mean squared error threshold,e, is much more sensitive to contrast than is expressed by a mean squared error. Nevertheless, even in the image processing world, definitions of signal-to-noise ratio, based on mean squared errors, are commonly used.
22#
發(fā)表于 2025-3-25 07:41:20 | 只看該作者
23#
發(fā)表于 2025-3-25 13:33:38 | 只看該作者
Smoothing non-equidistantly spaced data using second generation wavelets and thresholding,t rather as non-equidistant samples. Examples in this chapter illustrate what happens if we use classical wavelet transforms, pretending that the data are equispaced: the irregularity of the grid is reflected in the output.
24#
發(fā)表于 2025-3-25 17:16:04 | 只看該作者
The minimum mean squared error threshold,often objected that this expression of the error does not always correspond to a more subjective experience of quality. Our visual system, for instance, is much more sensitive to contrast than is expressed by a mean squared error. Nevertheless, even in the image processing world, definitions of sign
25#
發(fā)表于 2025-3-25 21:00:33 | 只看該作者
26#
發(fā)表于 2025-3-26 02:24:30 | 只看該作者
27#
發(fā)表于 2025-3-26 07:34:28 | 只看該作者
28#
發(fā)表于 2025-3-26 09:01:37 | 只看該作者
29#
發(fā)表于 2025-3-26 13:39:49 | 只看該作者
30#
發(fā)表于 2025-3-26 20:02:46 | 只看該作者
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