Pipelining Gauss Seidel Method for Analysis of Discrete Time Cellular Neural Networks

概要

論文の詳細を見る
This paper describes a pipelining universal system of discrete time cellular neural networks (DTCNNs). The new relaxation-based algorithm which is called a Pipelining Gauss Seidel (PGS) method is used to solve the CNN state equations in pipelining. In the systolic system of N processor elements {PE_i}, each PE_i performs the convolusional computation (CC) of all cells and the preceding PE_<i-1> performs the CC of all cells taking precedence over it by the precedence interval number p. The expected maximum number of PE's for the speeding up is given by n/p where n means the number of cells. For its application, the encoding and decoding process of moving images is simulated.
社団法人電子情報通信学会の論文
1994-08-25