Search Results for "wavelets"

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). ...

This is a collection of text-to-image tools, evolved from the artwork of the same name. Based on CLIP model and Lucent library, with FFT/DWT/RGB parameterizes (no-GAN generation). Illustrip (text-to-video with motion and depth) is added. DWT (wavelets) parameterization is added. Check also colabs below, with VQGAN and SIREN+FFM generators. Tested on Python 3.7 with PyTorch 1.7.1 or 1.8. Generating massive detailed textures, a la deepdream, fullHD/4K resolutions and above, various CLIP models (including multi-language from SBERT), continuous mode to process phrase lists (e.g. illustrating lyrics), pan/zoom motion with smooth interpolation. ...

...For signals of other lengths see MODWT implementation. MODWT/IMODWT Maximal Overlap Discrete Wavelet Transform is another undecimated transform. It is implemented for signals of any length but only orthogonal wavelets (Daubechies, Symlets and Coiflets) can be deployed. This implementation is based on the method laid out in "Wavelet Methods For Wavelet Analysis" by Donald Percival and Andrew Walden. Documentation Available at - https://github.com/rafat/wavelib/wiki

ZPAV (H265) is audio-visual codec protocol, very different from H264/MPEG4, ZPAV (H265) basic algorithm is wavelets, SPIHT, BSW, MMW, ......

KL1p is a portable C++ framework for handling sparse recovery of inverse problems of underdetermined linear systems, like in compressed sensing technique.

This is the code used in the experiments of the following paper: Xiaokui Xiao, Guozhang Wang, Johannes Gehrke: Differential Privacy via Wavelet Transforms. IEEE Trans. Knowl. Data Eng. 23(8): 1200-1214 (2011). Please cite the paper if you choose to use the code.

A MATLAB package for wavelet analysis of circadian rhythms with both discrete (Daubechies) and continuous (Morlet) wavelets, as well as tools for batch processing of multiple time series, all accessible through a graphical user interface.

Kicksey-winsey is an open source package for spectral fluid flow simulation using wavelets. It is provided as is and without any warranty that the results of the computations will be correct. Feedback on the forums would be very welcome !!

Clean implementation (in ANSI-C) of the Wavelets Transform. It works fairy good as a sparser, which can be combined with a compression algorithm (by using programs like bzip and gzip) to achieve high compression ratios (as good as mp3's).

SPM toolbox for statistical analysis using spatial wavelets

An Java artificial intelligence platform comprising common AI tools (neural networks, genetic algorithms, wavelets, etc...) and examples. The platform focuses on ease of use and ease of integration..

Wavelets At Work is a graphical tool (written in java) using wavelets in order to detect discontinuity of an input signal.

Port of Numerical Python to Jython (Java Python) to support all mathematical operations (linear algebra, matrices, DSP, wavelets, FFT, arrays...) and thus compete with commercial packages such as Matlab. It can be easily embedded in Java programs.