Fast Bayesian Hidden Markov Model with Wavelet Compression
-
Updated
Jan 24, 2020 - C++
Fast Bayesian Hidden Markov Model with Wavelet Compression
A bunch of experiments using Bark and Mel scales, wavelets and paraconsistent feature engineering in order to find the best methods to classify spoofed and genuine speaker audios
A universal C++ compression library based on wavelet transformation
Implements the Sigma Transform in C++
NSST Optimum Focused Image Generate
R package for Multi-Subject Multiscale Analysis of fMRI Data, or Other Multiscale Data
F411 sampler and FWT DSP package
wavelet transform Haar with base filter for image QT C++
Julia language wrapper for PDWT, a GPU implementation of the Wavelet Transform
Add a description, image, and links to the wavelet-transform topic page so that developers can more easily learn about it.
To associate your repository with the wavelet-transform topic, visit your repo's landing page and select "manage topics."