Independent Signal Separation Using Genetic Algorithm

Abstract

In recent years, growing multimedia systems require more efficient signal separation methods to preserve quality of voice or music recording under noisy environment. Some of signal separation methods are based on minimizing the dependence measure among input signals to separate a noise component since a noise component is usually independent on the other signals. Under such circumstances, we have developed a new method to separate independent signal components which directly minimizes the Kullback-Leibler divergence by a genetic algorithm. The simulation results show that the proposed method is effective to separate the independent signals.