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This project introduces students to the concepts of random signal mixing and source separation through a simplified version of the Cocktail Party Problem. Using MATLAB, you will explore how signals can be mixed using a known matrix, and how they can be recovered using two statistical methods: Principal Component Analysis (PCA) and Independent Component Analysis (ICA).
The project focuses on key probabilistic concepts such as Gaussianity, the Central Limit Theorem (CLT), statistical independence vs. correlation, and the effect of additive white Gaussian noise on signal recovery
