Title :
Jacobi´s Iterative Method for Solving Linear Equations and the Simulation of Linear CNN
Author :
Tavsanoglu, Vedat
Author_Institution :
Yildiz Tech. Univ., Istanbul
Abstract :
It is shown that the application of Jacobi iteration to the linear algebraic equations obtained from the state equations of a linear CNN with constant input by setting the derivatives of the states to zero yields the steady-state solution of the state equations. It is proved that the Jacobi iteration equation and that obtained by setting the integration time-step to a00 -1 in the discrete-time state equations obtained by the use of Euler forward difference are the same. It is also shown that the exact pixel values of the output image can be calculated
Keywords :
Jacobian matrices; cellular neural nets; discrete time filters; image processing; Euler forward difference; Jacobi iteration; discrete-time state equations; image processing; linear algebraic equations; linear cellular neural networks; linear filters; Cellular neural networks; Difference equations; Electronic mail; Image converters; Iterative methods; Jacobian matrices; Linear systems; Nonlinear filters; Pixel; Steady-state; Linear Filters; Raster simulation of CNN;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0639-0
Electronic_ISBN :
1-4244-0640-4
DOI :
10.1109/CNNA.2006.341622