Principle and Application of Blind Source Separation Technology

This book focuses on the principle of blind source separation (BSS) technology and its application in communication signal processing. This book first introduces the basic knowledge of BSS technology, and then introduces the whitening pre-processing algorithm of BSS and the source signal number estimation technology. The principles and implementation steps of various BSS algorithms are introduced in detail, and the simulation results of various algorithms are given. The application examples and experimental results of BSS technology in communication signal processing are given. The detailed derivation and simulation results of BSS algorithm principles are the features of this book, which is especially suitable for readers who are interested in learning BSS technology. The book can benefit researchers, engineers and graduate students in the fields of communications engineering and signal processing.

Proposal and application of blind source separation problem. - Mathematical model and separability condition of blind source separation. - Blind source separation theory basis. - preprocessing technology of blind source separation. - Gradient based overdetermined determined blind source separation algorithm. - Fast ica algorithm for overdetermined determined blind source separation. - Overdetermined determined blind separation algorithm based on joint diagonalization. - Blind source separation technique of overdetermined convolutional mixed. - Estimation of sufficiently sparse underdetermined mixed matrix. - Estimation of insufficiently sparse underdetermined mixed matrix. -source signal recovery algorithm based on compression reconstruction. - Other algorithms for source signal recovery. - The application of bss in communication signal processing. - Measurement experiment for bss of communication signal.