DocumentCode :
2540853
Title :
Overlapping issues in designing large CNNs
Author :
Kananen, Asko ; Paasio, Ari ; Halonen, Kari
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
fYear :
2000
fDate :
2000
Firstpage :
321
Lastpage :
325
Abstract :
In this paper some problems in designing large gray-scale cellular nonlinear network silicon implementations are discussed. These problems affect both the processing speed of the network and the silicon area needed for the network. The problems presented are solved by reducing the number of cell-rows. The difference between the method given here and the previously presented solutions is the simultaneous evaluation of the output while still writing in the remaining input data. This method leads to a problem of a required overlapping in a frame. Both the system level description of the “transient rolling” and simulation results of the overlapping problem are given in this paper
Keywords :
cellular neural nets; image processing; neural net architecture; cell-rows; cellular nonlinear network; gray-scale images; image filter; overlapping; processing speed; transient rolling; Capacitance; Cellular networks; Cellular neural networks; Clocks; Computational modeling; Electronic circuits; Gray-scale; Image storage; Intelligent networks; Laboratories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
Type :
conf
DOI :
10.1109/CNNA.2000.877349
Filename :
877349
Link To Document :
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