In this paper, a novel information the-ory criterion is proposed for blind source separationbased on a fully recurrent neural network, and a lea-ing algorithm i
A different representation of recur-sive systematic convolutional (RSC) codes is pro-posed. This representation can be realized by a con-ventional Tanner graph.
A practical neural network model formorphological opening and closing filters with its opti-mal parameters training algorithm is proposed in thispaper.For appli
A frequency extrapolation scheme isdeveloped to effectively predict radar cross section us-ing floating genetic algorithm based on the GTD (ge-ometry theory of