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Electric current measurement at the range of μA in integrated circuit has been traditionally carried out by micro-electronically engineered systems, such as current mirrors or charging capacitors. However, off-line, i.e., non-intrusive methods provide advantages related to size and power consumption. In this sense, giant magnetoresistance (GMR) magnetic sensors are optimal due to their sensitivity...
In this work a CMOS neural processor is presented. Based on a mixed analog-digital architecture, the system processes data in analog current mode, using digital registers to store weights safely. The proposed processor consists of two main blocks: A mixed-signal four-quadrant multiplier and a class AB current conveyor that implements the non-linear output function. Achieved from the circuit-level...
This paper shows a digitally tunable analogue processing architecture based on an adaptive circuit. The conditioning circuit has been designed to extend the linear range of an angular position sensor, compensating the output drift due to temperature variations. System-level simulations give a temperature-independent linear output in the range of 293-353 K, with an accuracy of 2 degrees in the angular...
This work studies the application of a mixed-mode electronic neural network to improve the output of nonlinear sensors which show behaviour variations for different samples. We present an analog current-based neuron model with digital weights, showing its architecture and features. Modifying the algorithm used in off-chip weight fitting main differences of the electronic architecture, compared to...
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