fastica

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

Code for a CPU, GPU and a Hybrid version of the FastICA algorithm.

For university purposes only!

An implementation of the fastICA algorithm for the cocktail party problem

Code for 'Estimating Treatment Effects with Independent Component Analysis' (arXiv:2507.16467)

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

A from-scratch Python implementation of ICA and FastICA for blind source separation, built as a foundation for signal-processing and neuroscience applications.

Audio source separation using Independent Component Analysis (FastICA) implemented from scratch with NumPy, with PCA comparison and correlation-based evaluation.

Прогнозирование температуры звезд с применением нейронных сетей.

Webcam-based rPPG prototype estimating heart rate from facial color variations using OpenCV, FastICA, signal preprocessing, and FFT.

手写独立成分分析 (ICA) / FastICA：中心化→Jacobi特征分解→白化→定点迭代（kurtosis/tanh, deflation/symmetric）。零依赖单文件 HTML，16/16 无头不变量 + 9/9 UI 全绿。

Project used to split N mixed audio files into N separated independent audio files. This project uses FastICA algorthm.

Implementação de Análise de Componentes Independentes (ICA) para separação cega de imagens, utilizando FastICA e JADE, com avaliação estatística, reconstrução dos sinais e comparação de desempenho.

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.

MATLAB project for blind source separation of multichannel audio using FastICA, spectrogram analysis and correlation-based evaluation.