An angledetector with a digital output is described. The component is meant as an alternative to the traditional slide potentiometer used as volume control in many hearing aid applications. The component is based on the use of magnetic field sensitive MOSFET's (MAGFET's) detecting the position of a tiny bar magnet placed above a silicon chip. Because of the galvanic separation between the anglesetting bar magnet and the electrical circuit, this component is insensitive to the rather hostile environment hearing aids are exposed to. The lifetime of the component is thereby increased significantly. The electrical circuit contains a switched current A/D-D/A conversion system for offset compensating the MAGFET's and for converting the MAGFET signal currents into a digital output proportional to the input angle. The system can operate with a supply voltage down to 2.3 V. The average current consumption is 1.5/xA. The peak current is close to 160/zA. The system operates correctly within the clock frequency range of 5 Hz to 25 kHz. It is implemented using a commercially available 1.5/zm CMOS process.
-An angledetector with a digital output is described. The component is meant as an alternative to the traditional slide potentiometer used as volume control in many hearing aid applications. The component is based on the use of magnetic field sensitive MOSFET's (MAGFET's) detecting the position of a tiny bar magnet placed above a silicon chip. Because of the galvanic separation between the anglesetting bar magnet and the electrical circuit, this component is insensitive to the rather hostile environment hearing aids are exposed to. The lifetime of the component is thereby increased significantly. The electrical circuit contains a switched current A/D -D/A conversion system for offset compensating the MAGFET's and for converting the MAGFET signal currents into a digital output proportional to the input angle. It is implemented using a commercially available 1.5 pm CMOS process.
-This paperproposes a new way to estimate theflow in a micromechanical flow channel. A neural network is used to estimate the delay of random temperature fluc,tuations induced in a fluid. The design and implementation of a hardware efficient neural flow estimator is dew-ibed. The system is implemented using switched-current technique and is capable of estimating flow in the $/ s range. The neural estimator is built around a multiplierless neural network, containing 9t Z synaptic weights which are updated using the LMS'-algorithm. An experimental chip has been designed that operates at 5V with a total current consumption of 2mA, resulting in apower consumption of 10m W. The dimensions of the chip core are 3 mm x 4.5 mm.
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