We have hosted the application wavelets jl in order to run this application in our online workstations with Wine or directly.
Quick description about wavelets jl:
A Julia package for fast wavelet transforms (1-D, 2-D, 3-D, by filtering or lifting). The package includes discrete wavelet transforms, column-wise discrete wavelet transforms, and wavelet packet transforms. 1st generation wavelets using filter banks (periodic and orthogonal). Filters are included for the following types: Haar, Daubechies, Coiflet, Symmlet, Battle-Lemarie, Beylkin, Vaidyanathan. 2nd generation wavelets by lifting (periodic and general type including orthogonal and biorthogonal). Included lifting schemes are currently only for Haar and Daubechies (under development). A new lifting scheme can be easily constructed by users. The current implementation of the lifting transforms is 2x faster than the filter transforms. Thresholding, best basis, and denoising functions, e.g. TI denoising by cycle spinning, best basis for WPT, noise estimation, and matching pursuit.Features:
- Documentation available
- Examples available
- Plotting/visualization utilities for 1-D and 2-D signals
- Thresholding, best basis and denoising functions
- 2nd generation wavelets by lifting
- 1st generation wavelets using filter banks
Programming Language: Julia.
Categories:
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