DocumentCode
698176
Title
A new simulation method for Time-Derivative Cellular Neural Networks
Author
Nergis Tural Polat, S. ; Tavsanoglu, Vedat
Author_Institution
Dept. of Electron. & Commun. Eng., Yildiz Tech. Univ., Istanbul, Turkey
fYear
2009
fDate
24-28 Aug. 2009
Firstpage
288
Lastpage
292
Abstract
Time-derivative Cellular Neural Networks (TDCNN) is a general class of CNN having derivative connections between cells. It has been reported that several mixed-domain 3D spatiotemporal transfer functions for linear filtering can be implemented via TDCNN such as bandpass filters and visual receptive field models. In this paper a new computer simulation method for TDCNN is presented. The new simulation method reduces simulation time dramatically and simplifies the simulation steps.
Keywords
band-pass filters; cellular neural nets; bandpass filters; linear filtering; mixed-domain 3D spatiotemporal transfer functions; time-derivative cellular neural networks; visual receptive field models; Abstracts; Biological system modeling; Cellular neural networks; Computational modeling; Computers; Simulation; Software packages;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2009 17th European
Conference_Location
Glasgow
Print_ISBN
978-161-7388-76-7
Type
conf
Filename
7077751
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