Discrete-Time Cellular Neural Networks Implemented on Field-Programmable Gate-Arrays to Build a Virtual Sensor System
Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched field-programmable gate-arrays can be used to realize such systems on silicon. At first glance a pipelined approach, based on circuit switching, seems promising. The digital implementation supports the handling of grey-level images at 180 to 240 Mpixels per second by exploiting the Xilinx Virtex-II macr