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  • Update : 2017-11-28
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Introduction - If you have any usage issues, please Google them yourself
Numerical differentiation is important in various applications. However, it should be taken with caution because it can greatly amplify the noise in the data, especially at high frequencies. When a wavelet function is the derivative of a smoothing function, the wavelet transform has the combined properties of smoothing and differentiation.
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FilenameSizeUpdate
spline_scale_function.m 146 2007-02-13
Application of the wavelet transforms on axial strain calculation in ultrasound elastography.pdf 1001890 2006-11-09
spline_function.m 290 2004-11-10
demo.m 634 2007-02-14
derivative_cwt.m 1859 2007-02-14
derivative_dwt.m 1967 2007-02-14
demo.png 5633 2007-02-14
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