FastICA blind source separation for microscopy images with BM3D denoising and ICASSO robustness analysis
-
Updated
Feb 16, 2026 - MATLAB
#
fastica
Here are 14 public repositories matching this topic...
Fast implementations of FastICA and DUET for blind source separation
-
Updated
Dec 9, 2024 - Julia
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.
-
Updated
Oct 3, 2021 - TeX
C implementation of FastICA algorithm
-
Updated
Aug 31, 2022 - Jupyter Notebook
Implementation of FastICA algorithm for PULP platform
-
Updated
Jun 2, 2023 - C
An implementation of the fastICA algorithm for the cocktail party problem
-
Updated
Dec 12, 2023 - Jupyter Notebook
CUDA for EEG
-
Updated
Apr 13, 2026 - Python
Code for 'Estimating Treatment Effects with Independent Component Analysis' (arXiv:2507.16467)
econometrics monte-carlo-simulation causal-inference ica independent-component-analysis semiparametric-estimation fastica treatment-effect-estimation double-machine-learning debiased-machine-learning orthogonal-machine-learning partially-linear-model
-
Updated
May 27, 2026 - Python
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
numpy pandas xgboost pca elasticnet extratreesregressor model-pipeline fastica randomforestregressor svr-regression-prediction
-
Updated
Jan 12, 2024 - Python
Прогнозирование температуры звезд с применением нейронных сетей.
-
Updated
Nov 23, 2025 - Jupyter Notebook
Blind source separation system in MATLAB using PCA and ICA to recover audio sources from noisy linear mixtures. Compares methods using correlation, kurtosis, and signal reconstruction quality, showing ICA superior for independent signal recovery.
signal-processing digital-signal-processing principal-component-analysis blind-source-separation independent-component-analysis fastica
-
Updated
May 31, 2026 - MATLAB
Project used to split N mixed audio files into N separated independent audio files. This project uses FastICA algorthm.
-
Updated
Oct 3, 2023 - Python
Improve this page
Add a description, image, and links to the fastica topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the fastica topic, visit your repo's landing page and select "manage topics."