By J. M. Cruz, L. O. Chua (auth.), Leon O. Chua, Glenn Gulak, Edmund Pierzchala, Angel Rodríguez-Vázquez (eds.)
Cellular Neural Networks and Analog VLSI brings jointly in a single position very important contributions and up to date examine ends up in this fast-paced sector.
Cellular Neural Networks and Analog VLSI serves as a good reference, supplying perception into essentially the most difficult examine concerns within the field.
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Additional info for Cellular Neural Networks and Analog VLSI
S. J. " IEEE Journal of Solid-State Circuits 30 (3), March 1995. 50 II. S. Espejo, "VLSI design and modeling of CNNs," PhD. Dissertation, University of Sevilla. March, 1994. 12. M. Anguita, F. J. Pelayo,F. J. Fernandez, andA. " To appear in IEEE Transactions on Circuits and Systems Part I. 13. M. Anguita, F. J. Pelayo, E. Ros, D. Palomar, and A. Prieto, "VLSI implementations of CNNs for image processing and vision tasks: Single and multiple chip approaches," invited talk at the 4th IEEE International Workshop on Cellular Neural Networks and their Applications.
4. J. Bastos, M. Steyaert, R. Roovers, P. Kinget, W. Sansen, B. Graindourze, N. Pergoot, and E. Janssens, "Mismatch characterisation of small size MOS transistors," in Proceedings of the IEEE International Coriference on Microelectronic Test Structures, March 1995, pp. 271-276. 5. B. E. Shi, S. Wendsche, T. Roska, and L. O. Chua, "Ran- dom variations in CNN templates: Theoretical models and empirical studies," in Proceedings International Workshop on Cellular Neural Networks and their Applications (CNNA), December 1994, pp.
Measured response times are between a few microseconds and a few hundreds of microseconds for the above mentioned unit current range. The worst-case times correspond to tasks in which several cell state transitions take place before the final output is obtained (as for example in the CCD, for which a time of about 150ftsec is required using a unit current of 150nA, while a border extraction takes 6ftsec with IL = 200nA). 41 266 M. Anguita et al. Fig. 2. Layout of the 8 x 8 CNN fahricated chip. 3.