caa a22 4500 477034225 CHVBK 20180405111301.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF00426020 doi (NATIONALLICENCE)springer-10.1007/BF00426020 The influence of photo-detector non-linearity on the multi-functionality of an opto-electronic cellular neural network [Elektronische Daten] [Keng-Shen Hung, K. Curtis, John Orton] The multi-functionality of an opto-electronic cellular neural network (OECNN) is investigated in this paper. Investigations are carried out to see if the network can still perform as an image edge detector, noise remover, or shadow creator when its metal-semiconductor-metal photodiodes (MSMPDs) have a non-linear response and device variations (i.e. variation in sensitivity from one device to another). From HSPICE simulations, it was found that the edge detector is not affected by the MSMPD's non-linearity and tolerates 20% device variation. It was also found that by adjusting the cell's behaviour, the impact of the non-linearity on the noise remover is alleviated to an acceptable level and that the network can perform as a shadow creator and tolerates 40% device variation. This discovery means that the restriction on the fabrication method of the MSMPD may be significantly reduced, if the programmability of the OECNN can be limited. Kluwer Academic Publishers, 1996 cellular neural network nationallicence current-mode CMOS circuit nationallicence device variation nationallicence image edge detection nationallicence image noise removal nationallicence image shadow creation nationallicence MSM-PD nationallicence Hung Keng-Shen Department of Electrical and Electronic Engineering, Nottingham University, NG7 2RD, Nottingham, UK aut Curtis K. Department of Electrical and Electronic Engineering, Nottingham University, NG7 2RD, Nottingham, UK aut Orton John Department of Electrical and Electronic Engineering, Nottingham University, NG7 2RD, Nottingham, UK aut Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 119-125 1370-4621 4:3<119 1996 4 11063 https://doi.org/10.1007/BF00426020 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00426020 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hung Keng-Shen Department of Electrical and Electronic Engineering, Nottingham University, NG7 2RD, Nottingham, UK aut NATIONALLICENCE 700 1- Curtis K. Department of Electrical and Electronic Engineering, Nottingham University, NG7 2RD, Nottingham, UK aut NATIONALLICENCE 700 1- Orton John Department of Electrical and Electronic Engineering, Nottingham University, NG7 2RD, Nottingham, UK aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 119-125 1370-4621 4:3<119 1996 4 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer