Study of Differential Evolutionary Algorithm in Blind Source Separation
Swain Monorama, Rutuparna Panda, Tibrewal Sneha · International Journal of Computer Applications · 2011
Blind source separation is a well known problem that arises in a large number of signal processing applications. In this paper we proposed a novel Evolutionary algorithm for Blind source separation of Instantaneous mixtures for optimization of continuous time domain signals. Among various evolutionary optimization principles, a population-based real-parameter optimization technique based on differences among population members is getting popular in various real-life optimization problems. This paper addresses this so-called Differential Evolution strategy and shows some sample cases where it can be utilized to separate a number of source signals using a particular channel.