DocumentCode
2127003
Title
Neural realization of fast linear filters
Author
Jacymirski, Michal ; Szczepaniak, Piotr S.
Author_Institution
Inst. of Comput. Sci., Tech. Univ. Lodz, Poland
fYear
2002
fDate
2002
Firstpage
153
Lastpage
157
Abstract
The paper presents a neural network architecture for linear filtering of signals based on a scheme for fast calculation of orthogonal transformations. Compared to the known standard filtering schemes the network offers high training efficiency accompanied by substantial simplicity of realization. Additionally, the same basic network topology enables realization of diverse transformations.
Keywords
filtering theory; learning (artificial intelligence); matrix algebra; network topology; neural net architecture; fast linear filters; linear filtering; network topology; neural network architecture; orthogonal transformations; signal filtering; training efficiency; Computer architecture; Computer science; Discrete Fourier transforms; Filtering; Image coding; Maximum likelihood detection; Network topology; Neural networks; Neurons; Nonlinear filters;
fLanguage
English
Publisher
ieee
Conference_Titel
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN
953-7044-01-7
Type
conf
DOI
10.1109/VIPROM.2002.1026646
Filename
1026646
Link To Document