A compact and efficient neuron-bipolar junction transistor (νBJT) cellular neural network (CNN) structure with multi-neighborhood-layer templates is proposed and analyzed. Using the proposed structure, the coefficients of the templates with two neighborhood layers are fully realizable. But those with more than two neighborhood layers are constrained. As the demonstrative examples on the applications of the proposed vBJT CNNs, the functions of both de-blurring and muller-lyer arrowhead illusion functions have been successfully realized and verified by HSPICE simulation.
|Number of pages||6|
|State||Published - 1 Jan 2000|
|Event||Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - Catania, Italy|
Duration: 23 May 2000 → 25 May 2000
|Conference||Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)|
|Period||23/05/00 → 25/05/00|