A gradient type algorithm for blind system identification based on second order statistics
Hiroshi Ochi, Yoshito Higa · 2002
In this paper, we propose a new structure of blind system identification and its cost function. The proposed cost function is a quadratic form and has the unique solution. In addition, the proposed scheme can employ iterative algorithms which achieve less computational complexity and can be easily realized in real time processing. In order to verify the effectiveness of the proposed scheme, a computer simulation has been shown.