Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning
G. Zatorre-Navarro, Nicolás J. Medrano, S. Celma-Pueyo · IEEE Transactions on Neural Networks · 2006
The design, analysis, and system simulation of an adaptive processor based on a current-mode mixed analog-digital circuit is presented. The processor consists of a mixed four-quadrant multiplier and a current conveyor that performs the nonlinearity. Schematics, circuit parameters, and a high-level model are shown. The results achieved when applying this processor model to conditioning several sensor types are discussed.