Programmable optical CNN implementation based on the template pixels' angular coding

Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Volumn 2002-January, Issue , 2002, Pages 148-155

  Kes S T ^a   Orzo L ^a   Roska, T ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Cellular neural networks; High speed optical techniques; Holographic optical components; Holography; Nonlinear optics; Optical arrays; Optical feedback; Optical filters; Optical sensors; Sensor arrays

Indexed keywords

ADAPTIVE OPTICS; CELLULAR ARRAYS; CELLULAR NEURAL NETWORKS; CORRELATORS; HOLOGRAPHY; NETWORK ARCHITECTURE; NONLINEAR FEEDBACK; NONLINEAR OPTICS; OPTICAL ENGINEERING; OPTICAL FEEDBACK; OPTICAL FILTERS; OPTICAL SENSORS; OPTICAL SYSTEMS; PIXELS; SENSOR ARRAYS; TRACKING (POSITION);

ADAPTIVE SENSORS; ADAPTIVE THRESHOLDING; HIGH SPEED OPTICAL TECHNIQUES; HOLOGRAPHIC OPTICAL COMPONENTS; LIMITED RESOLUTION; OPTICAL ARRAYS; OPTICAL CORRELATORS; PARALLEL PROGRAM;

FEEDBACK;

EID: 84949635009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNNA.2002.1035047     Document Type: Conference Paper

References (25)

1. Alam M.S. (1999) Selected Papers on Optical Pattern Recognition Using Joint Transform Correlation, SPIE Milestone Series Vol. MS 157, SPIE-The International Society for Optical Engineering, Bellingham, Washington USA
2. Andersson, S.I. (1999) Optical CNN for Ultra-fast Processing. CECIL Technical Report, Göteborg
3. Chua, L.O., Roska, T. (1993) The CNN Paradigm, IEEE Trans. on Circuits and Systems. 40, 147-156
4. Chua, L.O., Yang, L. (1988) Cellular Neural Networks: Theory and Applications. IEEE Transactions on Circuits and Systems. 35, 1257-1290
5. Cruz, J.M., Chua, L.O., Roska, T. (1994) A Fast, Complex and Efficient Test Implementation of the CNN Universal Machine, in Proc. of the third IEEE Int. Workshop on Cellular Neural Networks and their Application (CNNA-94), Rome. 61-66
6. Espejo, S., Domínguez-Castro, R., Liñán, G., Rodríguez-Vázquez, A. (1998) A 64x64 CNN Universal Chip with Analog and Digital I/O. in Proc. of 5th Int. Conference on Electronics, Circuits and Systems (ICECS'98), Lisbon, September. 203-206
7. Fruehauf, N., Lueder, E., Bader, G. (1993) Fourier Optical Realization of Cellular Neural Networks. IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing. 40(3), 156-162.
8. Hampp, N., Popp, A., Brauchle C., Oesterhelt, D. (1992) Diffraction efficiency of Bacteriorhodopsin films for holography containing bacteriorhodopsin wild type BRwt and its variants BrD85E and BRD96N. J. Phys. Chem. 96, 4679-4685
9. Jankowski, S., Buczynski, R., Wielgus, A., Pleskacz, W., Szoplik, T., Veretennicoff, I., Thienpont, H. (1999) Digital CNN with Optical and Electronic Processing. in Proc. of 14 European Conference on Circuit Theory and Design, (ECCTD'99), Stresa, Italy. 2, 1183-1186
10. Javidi, B., Horner, J.L. (1994) Real-time optical information processing. Academic Press, Inc. London.
11. Ludmann, K., Ganea, C., Váró, Gy. (1999) Back photoreaction from intermediate M of bacteriorhodopsin photocycle. J. Photochem. Photobiol. B49, 23-28
12. Osterhelt, D., Brauchle, C., Hampp, N. (1991) Bacteriorhodopsin: a biological material for information processing. Quarterly Review of Biophysics. 24(4), 425-478
13. Paasio, A., Kananen, A., Halonen, K. and Porra, V. (1999) A QCIF Resolution Binary I/O CNN-UM Chip. Journal of VLSI Signal Processing Systems, 23(2/3), 281-290
14. Roska, T. (1999) Computer-Sensors: Spatio-temporal Computers for Analog Array Signals, Dynamically Integrated with Sensors. Journal of VLSI Signal Processing Systems. 23(2/3), 221-238
15. Roska, T., Chua, L.O. (1993) The CNN Universal Machine: An Analogic Array Computer. IEEE Transactions on Circuits and Systems-II, 40, 163-173
16. Roska, T., Zarándy, Á., Zöld, S., Földesy, P., Szolgay, P. (1999) The Computational Infrastructure of Analogic CNN Computing - Part I: The CNN-UM Chip Prototyping System. IEEE Transactions on Circuits and Systems. 46(2), 261-268
17. Slot, K., Roska, T., Chua, L.O. (1992) Optically Realized Feedforward Only Cellular Neural Networks. International Journal of Electronics and Communications. 46(3), 158-167
18. Tanida, J., Ichioka, Y. (2000) Digital Optical Computing, (in ed. Wolf, E.: Progress in Optics, XL.
19. To{combining double acute accent}kés, Sz., Orzó L. and Roska T. (2001) Design Aspects of an Optical Correlator Based CNN Implementation. Proc. IEEE International Symposium on Circuits and Systems, Helsinki. 1, 353-356
20. To{combining double acute accent}kés, Sz., Orzó, L., Rekeczky, Cs., Roska, T., Zarándy, Á. (2000) An optical CNN implementation with stored programmability", Proc. IEEE International Symposium on Circuits and Systems, Geneva. 2, 136-139
21. To{combining double acute accent}kés, Sz., Orzó, L., Török, L., Ayoub, A., Roska, T. (2001) An advanced joint Fourier transform correlator (JTC). Proceedings of DO'01 Topical Meeting on DIFFRACTIVE OPTICS 2001, Budapest
22. To{combining double acute accent}kés, Sz., Orzó, L., Váró, Gy., Dér, A., Ormos, P. and Roska, T. (2001) Programmable Analogic Cellular Optical Computer using Bacteriorhodopsine as Analog Rewritable Image Memory, NATO Book: "Bioelectronic Applications of Photochromic Pigments" (Eds.: L. Keszthelyi, J. Stuart and A. Der) IOS Press, Amsterdam, Netherlands. 54-73
23. VanderLugt, A. (1992) Optical Signal Processing. John Wiley & Sons, Inc.
24. Vsevolodov, N.N., Dyukova, T.V. (1994) Retinal-protein complexes as optoelectronic components. Trends in Biotechnology. 12, 81-88
25. Yu, F.T S., Jutamulia, S.: Optical Pattern Recognition, Cambridge University Press. (1998)