Blind Source Separation Theory and Application/Academic Work Series in Information Science Technologies (Chinese Edition)

This book thoroughly and systematically reveals the blind source separation algorithm, and theory and the analysis of actual examples are combined to sort out its various important research results since its brought forward. Its divided into fifteen chapters, and it covers blind source separation fundamentals, core blind source separation algorithms, and cutting-edge blind source separation algorithms and their application. It involves a large number of actual examples, and for the first time systematically reveals the nonnegative matrix decomposition and sparse component analysis. It can be used as an information processing textbook for graduates who study signal processing, image (video) processing, data mining, pattern recognition and geoscience information, etc. It can also be used for reference by college students and teachers who learn and teach related disciplines and researchers in the field of the blind source separation algorithm and its application.