Here you can find some useful downloads about ICA/BSP such as packages or libraries
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DOWNLOAD
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SHORT DESCRIPTION
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| The FASTICA package for MATLAB | A free MATLAB program that implements the fast fixed-point algorithm for ICA and projection pursuit |
| ICASSO | Software for investigating the reliability of ICA estimates by clustering and visualization |
| SOM Toolbox | Effective software tool for the visualization of high-dimensional data. Function package for Matlab 5 implementing the Self-Organizing Map (SOM) algorithm and more |
| Pierre Comon Source Codes | |
| ICALAB for Signal Processing | Toolbox for ICA, BSS, BSE |
| ICALAB for Image Processing | Toolbox for ICA, BSS, BSE |
| Basic ICA code in MATLAB | Basic Source Separation code by Tony Bell |
| EEGLAB | An open source toolbox for analysis
of single-trial EEG dynamics including independent component analysis, running under MATLAB. |
| Source Separation demo codes | 4 Demos about Source Separations written in Matlab and Java |
| Softwares for Blind Source Separation (Instantaneous Mixture) | Presented in the form a demonstration which is avalable in two versions: a matlab and a java version |
| SFD-MIM-BSS Package | A smart interactive interface, in which the user can choose the type of mixtures, sources and mixtures parameters, a few pre-processing (wavelet denoising, fast initialization for PNL), etc |
| Blind separation of convolutive speech mixtures(DEMO) | A demo of blind separation of convolutive
speech mixtures |
| Markov-PNL | Algorithm based on the minimization of conditional mutual information with a Markovian model of the sources. |
| CONVBSS | Algorithm demixes convolutively mixed signals |
| BSS for Speech(DEMO) | Fixed-point frequency domain ICA algorithm for the separation of convolutive mixture of speech |
| C implementations for JADE,SHIBBS | Stand alone joint-diagonalization function |
| ACDC | The AC-DC algorithm for the approximate joint diagonalization of a set of matrices. |
| EGDL-ICA | Batch ICA algorithm for wide class of sources. |
| PEARSON ICA | Batch ICA algorithm for wide class of sources |
| RADICAL ICA | Non-parametric ICA algorithm in MATLAB. Makes no parametric assumptions about data (e.g. kurtosis). |
| FIR Matrix Toolbox 5.0 | Matlab toolbox with tools for convolutive matrices and application to source separation. |
| MILCA and SNICA Algorithms | Accurate ICA algorithms & reliability tests |
| Time-Frequency Toolbox for Matlab | Collection of M-files developed for the analysis of non-stationary signals using time-frequency distributions |
| EFICA |
Efficient version of well-known ICA algorithm FastICA |
| Optimum pairing of blindly separated signals | Algorithm for optimum pairing of separated signals by blind techniques |
| Mutual information estimation | Algorithm for adaptive estimation of mutual information |
| Tree-dependent Component Analysis | Matlab program that implements the tree-dependent component analysis (TCA) algorithms |
| Separation
of convolutive mixture of cyclostationary sources |
Script able to perform separation using i.i.d. or stationary sequences and cyclostationary sequences |
| TFBSS | Algorithm for blind separation of non-stationary sources |
| Kernel Independent Component Analysis | Matlab program that implements the Kernel ICA algorithm |
| Shiro Ikeda's Codes | Algorithm to separate sound singal |
| Trilinear PARAFAC | A trilinear model that has extensive applications in signal processing and communications |
| JADE | An efficient batch algorithm based on the (joint) diagonalization of cumulant matrices |
| EASI | Adaptive algorithms: relative gradient algorithms |
| Joint Diagonalization | A reasonable algorithm for the joint diagonalization of a set of matrices |
| Relative Newton Method for BSS | Matlab codes by Michael Zibulevsky |
| Joint Approximate Diagonalization of Positive Matrices | Matlab and C codes |
| DTUToolbox | Collection of machine learning algorithms implemented for Matlab™ |
| Reliability of ICA Projections | Assess the reliability/stability of ICA projections |
| STICA |
Process sequences of 2D images |
| BSS Using Temporal Predictability (DEMO) | Demonstrates how to separate three mixtures of three signals (e.g. speech) which have arbitrary pdfs |
| Face Recognition using ICA | Matlab scripts |