DocumentCode
2251611
Title
Jacobi´s Iterative Method for Solving Linear Equations and the Simulation of Linear CNN
Author
Tavsanoglu, Vedat
Author_Institution
Yildiz Tech. Univ., Istanbul
fYear
2006
fDate
28-30 Aug. 2006
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CNNA.2006.341622
Filename
4145862
Link To Document