DocumentCode :
2285818
Title :
Programmable optical CNN implementation based on the template pixels´ angular coding
Author :
TöKÈS, SZABOLCS ; ORZÓ, LÀSZLÓ ; ROSKA, TAMÀS
Author_Institution :
Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
2002
fDate :
22-24 Jul 2002
Abstract :
Within the programmable opto-electronic analogic computer (POAC) framework a new, feed forward only optical CNN-UM implementation has been introduced. It is grounded on an innovative semi-incoherent optical correlator architecture. Angular coding of the template pixels determines the operation of this optical CNN implementation, therefore it is real time and flexibly programmable. We have demonstrated its feasibility and operation by an experimental setup. Our correlator architecture makes it possible to execute algorithms real time, which cannot be done by any other existing optical correlator so far. Our architecture unifies the advantages of coherent and incoherent optical correlators, provides a more robust frame and avoids their main hindrances. In the POAC framework the resulting correlogram is measured by a programmable adaptive sensor array, a special visual CNN-UM chip. So, local parallel programs fulfill both the necessary pre and post processing with the required adaptive thresholding. However, because of the limited resolution of available visual CNN chips (28×28), all-optical optical pre- and post-processing will be used, as well.
Keywords :
analogue integrated circuits; cellular neural nets; encoding; feedforward neural nets; integrated optoelectronics; optical correlation; optical neural nets; real-time systems; POAC; angular coding; coherent optical correlators; correlator architecture; correlogram; feed forward optical CNN-UM implementation; feedforward optical CNN-UM implementation; incoherent optical correlators; innovative semi-incoherent optical correlator architecture; optical correlator; opto-clectronic analogue computer; programmable adaptive sensor array; programmable optical CNN implementation; real-time algorithms; template pixel angular coding; template pixels; Adaptive arrays; Cellular neural networks; Computer architecture; Correlators; Feeds; Optical computing; Optical sensors; Robustness; Semiconductor device measurement; Sensor arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
Type :
conf
DOI :
10.1109/CNNA.2002.1035027
Filename :
1035027
Link To Document :
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