A Discussion on Spatiotemporal Filtering on a Third Generation Real-Time Cellular Neural Network Processor

Conference: CNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and their Applications
08/23/2016 - 08/25/2016 at Dresden, Deutschland

Proceedings: CNNA 2016

Pages: 2Language: englishTyp: PDF

Personal VDE Members are entitled to a 10% discount on this title

Yildiz, Nerhun (Department of Electronics and Communication Engineering, Yildiz Technical University, Istanbul, Turkey & Department of Bioengineering, Imperial Collage London, London, UK)
Cesur, Evren (nesta Design Ltd., Yildiz Technical University TechnoPark, B2 Blok No:121, 34220 Istanbul, Turkey)
Tavsanoglu, Vedat (Department of Electrical and Electronics Engineering, Isik University, Istanbul, Turkey)

A third generation Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v3) is a CNN emulator currently being implemented targeting FPGA devices. Thanks to the frame buffer support of the RTCNNP-v3 it will be possible to store and recall multiple frames which will extend the range of applications that can be implemented with RTCNNP, including spatiotemporal filters. In this paper, the implementation method of a velocity-tuned filter currently being implemented is disclosed with further discussion.