Blind source separation and algorithm improvement based on ICA algorithm

Since the study of the purification and separation of mixed signals has always been one of the core directions of algorithm application, we have analyzed the problem of sound blind source separation of several people or dozens of people, and deeply understood the main algorithms used to solve the blind source separation problem and its improvement methods. Here we want to analyze ICA (Independent Component Analysis) firstly and describe some of the basic knowledge required for ICA separation, then talk about the derivation of the detailed Fast-ICA algorithm and use it to solve the sound source separation problems and the decryption problem of pictures. Finally, based on the direction of convergence velocity, Fast-ICA's improved method is proposed, which is more robust and faster convergence than the original method.