Research Of Blind Source Separation Based On Gene Algorith

Blind source separation is one of important research direction in the field of signal processing, and the blind source separation technology is widely used in communications, medical, image and voice signal processing and other fields. As the blind source separation problem will be widely applied, it has attached great importance to the academic community, and gradually become a new hot spot. In this paper, on the basis of the existing literature on the use of genetic algorithms for blind source separation of the basic principles and specific algorithm to do some work..First, analysis of the two kinds of mixed signal source, the blind source separation problem is divided into mixed-instantaneous system blind source separation and the convolution of the hybrid system two types of blind source separation. Overview blind source separation algorithm research, analysis of the separation algorithm performance evaluation criteria.Secondly, by using the genetic algorithms global convergence of strong character, a genetic algorithm blind source separation algorithm based on fourth-order cumulates is introduced, and designing to be mixed for the matrix of genetic coding; further, the design of adaptive genetic operators, in accordance with appropriate Adaptive value to adjust the evolution of evolutionary efficiency, to ensure global optimization search algorithm.Third, the hybrid system in the instantaneous blind source separation algorithm, the settlement of assessment for the separation issue, the fourth-order structure based on the cumulative amount of the objective function. At the same time, the convergence of the algorithm for performance, choice of ways to improve, get back into the use of style options, the option may be to eliminate duplication, the same assurance in the early evolution of the species diversity. Finally, in view of the mixed system convolution blind source separation algorithm calculates oversized question, combined with ideas, piecewise proposed based on priority adaptive genetic algorithm, the evolutionary algorithm easier to converge to the global optimal solution, and reduce the complexity of the algorithm...