| Blind sources separation is becoming the problem that gets more and more focus because of broad application in many fields, such as communication, speech recognition and so on. We offer a model for blind sources separation which is based on high-order statistics.In this paper we just consider the condition under which many source signals are mixed instantaneously. First, we offer a method through that we can count the number of source signals , which uses the knowledge of matrix , the high-matrix and physical information of mixed signals. Then it is to be given how to choose the contrast function which is established on the knowledge of information. A new algorithm is to be given ,which is based on the contrast function and to be proved efficacious. Finally we design a system that can simulate blind sources separation. The result shows thatthe model and algorithm are effective. |
