Accurate design of analog CNN in CMOS digital technologies

Description

Explores the design of cellular neural networks (CNN) by using sampled-data analog current-mode techniques which neither requires capacitors nor resistors but just MOS transistors. The feature makes the proposed technique well suited for implementation in conventional VLSI MOS technologies. A set of building blocks is presented and their performance validated by device-level simulation results. Also, guidelines are given concerning the choice of the circuit parameters for optimum operation.

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