An open-source Python port of the Wavelet-based Signal Processing (WASP) tool developed by Dr. Ze Jiang for improving prediction accuracy in natural system models. This version replicates the core ...

Christopher Leisner, Nonlinear Wavelet Approximation in Anisotropic Besov Spaces, Indiana University Mathematics Journal, Vol. 52, No. 2 (2003), pp. 437-455 ...

However, as I am mostly using Python, I have rewritten the code for Python environment. I have attached two Python files that contain all needed functions and the example, exactly as you have it for ...

Given a scaling function ?0, mother wavelet ?0, and maximum scale level J, DWT is a mapping from x (t) to the approximation coefficients ax and detail coefficients dx: ...

The wavelet transform provides a sparse representation for smooth images, enabling efficient approximation and compression using techniques such as zerotrees. Unfortunately, this sparsity does not ...

This paper looks at the effect of the number of vanishing moments on the approximation power of wavelet expansions. The Strang-Fix conditions imply that the err ...

Article citations More>> Wendland, H. (2002) Fast Evaluation of Radial Basis Functions: Methods Based on Partition of Unity. In: Approximation Theory X: Wavelets, Splines, and Applications, Vanderbilt ...