文档介绍：O Nonlinear independent component analysis Contents Background ponent analysis Bland Signal Processing Research on the application Reference Background: The famous problem is the " cocktail party problem “– some microphones placed in the same room, each microphone receives is a mixture of different voice room sound , we asked the sound characteristics of human and the location to be ignorant of the real, objective is to a microphone observations of the sound signal, separating each one's voice. In other words, do not know the parameters of the source signal and the source signal transmission channel, between the assumption of statistical independence between source signals, only by virtue of observation data of sensor array or transducer array, separation or estimated waveform originally signal and communication channel parameters ( or mixed matrix ), this is the blind signal processing. ponent analysis: ponent analysis is to pose the signal into several independent components, it is in order to solve the problems of blind signal separation and developed. If the signal is composed of several independent source mixed, independent component analysis can just put these source apart. Therefore, in the general literature usually the ponent analysis is equivalent to Blind Source Separation (BSS) . Blind Signal Processing : It refers to not know the system transfer function and the source signal, using only the receiving signal of a sensor, method to solve the system transfer function or recover the source signals. " Blind " means 1 ) all source signals are not observed; 2 ) does not have a mixed channel information, namely, the transfer function of the system is unknown. The basic idea of blind signal processing is the use of all source signals are statistically