FastICA blind source separation for microscopy images with BM3D denoising and ICASSO robustness analysis
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Updated
Feb 16, 2026 - MATLAB
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FastICA blind source separation for microscopy images with BM3D denoising and ICASSO robustness analysis
Fast implementations of FastICA and DUET for blind source separation
A class research project on independent component analysis (ICA) and FastICA for Matrix Analysis for Signal Processing and Machine Learning (ECE 599) course at Oregon State University.
C implementation of FastICA algorithm
Implementation of FastICA algorithm for PULP platform
An implementation of the fastICA algorithm for the cocktail party problem
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
Прогнозирование температуры звезд с применением нейронных сетей.
Project used to split N mixed audio files into N separated independent audio files. This project uses FastICA algorthm.
Code for 'Estimating Treatment Effects with Independent Component Analysis' (arXiv:2507.16467)
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