Using Modified Conditional Second-Order Statistics in Blind Source Separation in Noisy Environment

Higher-order statistics (HOS) has been proposed as a solution to blind separation of an instantaneous mixture of sources with the same PSDs. However, in this paper, we'll introduce a new method based on the first and second order of conditional statistics and modifying it for noisy sensor conditions. Comparing the performance of our newly proposed algorithm with that of the previous ones, it is demonstrated that our newly proposed algorithm results in a better result.