Blind Signal Processing And Application

In recent years,with the rapid of science technologt,various techniques have made great progress.After many scholar’research,blind signal processing technology matures.Its use very extensive and application of in many fields.Such as electronic information,biomedical,radar,communication etc.Due to the wide application of blind signals,in the field ofsignal analysis,it become an important part of it gradually.In this paper,the first chapter mainly introduces the meaning of blind signal,at present domestic and international research situation,study of its significance and it’s development trend.The second chapter introduces the principal component analysis,on the basis of it introduces the kernel principal component analysis method,mixed-signal simulation and results of performance analysis to judge the separation of good and bad.The third chapter discusses the algorithm model of independent component analysis,introduces several independent component analysis method and use these method to separated the linear analog signal and sound signal,then compared the results.Proposesed an adaptive signal-to-noise ration algorithm on the nonstationary blind signal separation.The fourth chapter introduce nonlinear mixed blind signal separation model,and then proposes a method based on the radial basis function neural network to separate the mixed signal and simulation experiments.The fifth chapter makes use of several chapters introduce blind separation algorithm for noisy image processing and analysis of experimental results.