Numerical differentiation based on wavelet transforms

Version 1.0.0.0 (966 KB) by Jianwen Luo
Numerical differentiation based on wavelet transforms (CWT and DWT)
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Updated 14 Feb 2007

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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.

Cite As

Jianwen Luo (2026). Numerical differentiation based on wavelet transforms (https://uk.mathworks.com/matlabcentral/fileexchange/13948-numerical-differentiation-based-on-wavelet-transforms), MATLAB Central File Exchange. Retrieved .

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1.0.0.0