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Blind Sources Separation by using INFOMAX algorithm with Python.

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BSS by using INFOMAX algorithm with Python.

Blind source separation using Infomax__FastICA

An example of estimating sources from noisy data.

ICA is used to estimate sources given noisy measurements. Imagine 3 instruments playing simultaneously and 3 microphones recording the mixed signals. ICA is used to recover the sources ie. what is played by each instrument. PS: PCA fails at recovering our instruments since the related signals reflect non-Gaussian processes.

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Blind Sources Separation by using INFOMAX algorithm with Python.

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