Neural networks to solve the problems of control and identification [automated TV-set raster tuning]

Author

Demidenko, Serge ; Sadykhov, Raouf Kh ; Podenok, Leonid P. ; Vatkin, Maxim E. ; Klimovich, Alexey N.

Author_Institution

Massey Univ., Palmerston North, New Zealand

fYear

2002

fDate

2002

Firstpage

318

Lastpage

320

Abstract

The automated TV-set raster tuning system capable to control the vertical and horizontal size and position, pincushion, trapezoid, parallelogram and tilt has been developed. To solve the problem of non-linearity and non-symmetry approximation the neural network with activation function based on the Volterra series seas used. The new algorithm invariant to oscillation of brightness based on neocognitron neural network was applied for processing the grayscale images of integral circuits

Keywords

Volterra series; brightness; neural nets; television receivers; tuning; Volterra series; activation function; automated TV set raster tuning system; brightness; grayscale images; horizontal size; neocognitron; nonlinearity; nonsymmetry approximation; parallelogram; pincushion; tilt; trapezoid; vertical size; Automatic control; Chebyshev approximation; Circuit optimization; Cybernetics; Distortion measurement; Informatics; Kernel; Neural networks; Nonlinear distortion; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on

Conference_Location

Christchurch

Print_ISBN

0-7695-1453-7

Type

conf

DOI

10.1109/DELTA.2002.994638

Filename

994638