Blind Source Separation Advances in Theory Algorithms and Applications

盲源分离，语音增强 Blind source separation (BSS) methods have received extensive attention over the past two decades; thanks to its wide applicability in a number of areas such as biomedical engineering, audio signal processing, and telecommunications. The problem of source separation is an inductive inference problem, as only limited information, e.g., the sensor observations, is available to infer the most probable source estimates.