An analysis method to find the natural response of double-layer planar lattice networks is found and its stability discussed. Following the proposed approach, a new circuit able to perform feature extraction at the sensory level by means of a convolution with a Gabor-like kernel is synthesised. The circuit, based on MOS transistors working in the subthreshold region, has been simulated and successfully compared with theoretical expectations. Its main features are the compactness, low-power and full programmability of the convolutional kernel.
ANALYSIS AND SYNTHESIS OF DOUBLE LAYER MOSFET NETWORKS FOR SMART SENSORY SYSTEMS
BARBARO, MASSIMO;RAFFO, LUIGI
1998-01-01
Abstract
An analysis method to find the natural response of double-layer planar lattice networks is found and its stability discussed. Following the proposed approach, a new circuit able to perform feature extraction at the sensory level by means of a convolution with a Gabor-like kernel is synthesised. The circuit, based on MOS transistors working in the subthreshold region, has been simulated and successfully compared with theoretical expectations. Its main features are the compactness, low-power and full programmability of the convolutional kernel.
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