Numerical differentiation based on wavelet transforms

Numerical differentiation based on wavelet transforms (CWT and DWT)

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.