Fixed point blind source separation algorithm based on linear prediction

The source signal with different temporal structures can be extracted by the cost function of predictability in the blind source separation. But the batch version of the algorithm slowly converges. A improved point blind source separation algorithm is proposed to accelerate the convergence rate of the algorithm under the Kuhn-Tucker condition based on the same cost function. Compared with the algorithm proposed by A. K. Barros and A. Cichocki et al, the proposed algorithm converges faster. Moreover, the algorithm has the advantages of no need of step size and low computation. And the experiment on real data also shows the validity of the proposed algorithm.