2D blind system identification using adaptive algorithms

We propose a method for 2D blind system identification using adaptive algorithm. The conventional method requires an enormous amount of calculation to solve the identification problem. On the contrary, the proposed method is based on an adaptive algorithm so that it only requires a smaller amount of calculation. We extend an adaptive model for 1D to 2D blind system identification. The proposed model has linear filters as adaptive filters, whose coefficients are updated based on the normalized LMS algorithm. Results of computer simulations verify the effectiveness of the system