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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.
Implementation of FastICA algorithm for PULP platform
Code for a CPU, GPU and a Hybrid version of the FastICA algorithm.
For university purposes only!
Project used to split N mixed audio files into N separated independent audio files. This project uses FastICA algorthm.
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.