Under determined blind source separation by applying the adjacent sampling points of signals for joint estimation
采用信号相邻采样点联合估计的欠定盲源分离算法

Two-step strategy is the basic method of under-determined blind source separation currently, and the estimation of mixing matrix is a prerequisite for recovering the source signals. We consider the situation that the mixing matrix has been estimated, and matrix subspace method is applied to estimate source signals. In order to improve anti-noise capability of the underdetermined blind source separation algorithm, the relevant characteristics of adjacent sampling points of signals are used to determine the ownership of the signals at any time. Finally, simulations show the performance and validity of the proposed algorithm.