Implementation of Two Cell Non-Autonomous CNN Model on FPGA
Barış Karakaya, Vedat Çelik, Arif Gülten · DergiPark (Istanbul University) · 2018
Thispaper presents implementation of a chaotic Cellular Neural Network (CNN) onField Programmable Gate Array (FPGA). The network has two non-autonomous cellsand exhibits chaotic behavior. In the implementation stage, Verilog HardwareDescription Language (HDL) is used and discrete time model of the network iscoded on Xilinx ISE Design Suite 13.2. It seems that the chaotic attractor canbe used as entropy source or short key (seed) of chaos based random numbergenerator design.