# Independent Subspace Analysis: Blind Source Separation
Project for the course of Structured Data : Learning, Prediction, Dependency, Testing
## To reproduce our experiments:
Run the following scripts:
- experiments_ecg.py : Script that enables to perform Multidimensional ICA on ecg data (3 channels of ecg, in which we want to separate the baby's ecg' from its mom's', same as in Cardoso's paper (1)) adapted from Cardoso's paper Multidimensional Independent Component Analysis (1). Available implementations of ICA are JADE and FastICA.
- experiments_audio.py : Script that enables to perform ICA, Multidimensional ICA and FastISA on audio data.
By changing flags, one can perform either:
- ICA (set flag method to `ica`) on a mixture of two songs (with JADE or FastICA (set flag algorithm to `jade` or `fastICA`))
- MICA on a mixture of tracks (set flag method to `mica`) on a mixture of two songs (with JADE or FastICA (set flag algorithm to `jade` or `fastICA`))
- fastISA on a a mixture of tracks (set flag method to fastISA)
- experiments_images.py : Script that enables to perform ICA, Multidimensional ICA and FastISA on image data.
By changing flags, one can perform either:
- MICA (set flag method to `mica`) on a mixture of images (with JADE or FastICA (set flag algorithm to `jade` or `fastICA`))
- fastISA (set flag method to fastISA)
## Source Code:
- projection_utils.py : contains the projection functions necessary to MICA
- data_utils.py : load data and produce mixtures
- HistogramOrientedGradient.py : compute Histogram Oriented Gradient features
- jade.py : implementation of JADE (initially by Cardoso in matlab, translated for Python by Beckers): see http://perso.telecom-paristech.fr/~cardoso/Algo/Jade/jade.py
- fastICA.py : implementation of fastICA and fastISA
Blind-Source-Separation-master.zip （36个子文件） 
Blind-Source-Separation-master results image 
emma_grass_fastISA.png 176KB emma_grass_sources_hat_fastICA.png 162KB sources.png 160KB grass_mica_jade.png 188KB emma_grass_mixture.png 138KB fastISA_init_fastICA.png 174KB grass_mica_fastICA.png 96KB emma_mica_fastICA.png 160KB emma_grass_sources_hat_jade.png 165KB fasrISA_init_jade.png 176KB fastISA_toy.png 6KB emma_mica_jade.png 146KB ecg ica_comp_ecg.png 41KB mica_comp_ecg_m.png 40KB mica_comp_ecg_f.png 43KB src 
experiments_image.py 5KB HistogramOrientedGradient.py 4KB data_utils.py 8KB projection_utils.py 486B jade.py 19KB fastICA.py 5KB equalization.py 4KB experiments_ecg.py 3KB experiments_audio.py 5KB README.md 2KB
report.pdf 1.92MB data image grass_2.jpeg 15KB lena.jpeg 7KB emma.jpeg 6KB emma_2.jpeg 6KB
horse.jpg 51KB blend1.png 460KB blend2.png 543KB grass.jpeg 12KB ecg foetal_ecg.dat 222KB .gitignore 2KB
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