Eva Vidal

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This paper deals with coupled oscillators as the building blocks of a bioinspired computing paradigm and their implementation. In order to accomplish the low-power and fast-processing requirements of autonomous applications, we study the microelectronic analog implementation of physical oscillators, instead of the software computer-simulated implementation.(More)
The architecture of a complete image segmentation system and the development of an embedded VLSI low-power integrated circuit are reported. A neuromorphic engineering approach is adopted, with the purpose of reproducing behaviour of biological neural networks by taking advantage of the microelectronic implementation properties, especially low power(More)
1999 IEEE. Personal use of this material is permitted. However, permission to reprint or republish this material for advertising or promotional purposes or for creating new collecting works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is(More)
—This paper deals with the proposal of a new topology for a g m-C continuous time filter which allows the adjustment and tuning of its characteristic parameters (ω O and Q) in an independent way (without cross-tuning), thereby extending the Q range of the filter for a particular ω O value. Additionally a comparison of three different Q-tuning algorithms is(More)
The similarity calculation of two input voltages can be performed in the analog domain by means of a very compact current switch combined with a differential pair stage. Local feed-forward of the current switch allows the circuit to work without the need of any external control ensuring at the same time very high selectivity. The current switch is analyzed(More)
Four cross-coupled MOS transistors operating as switches implement a very compact, fast, low-power and precise minimum and maximum current selector. Local positive feedback allows the circuit to work without the need of any control inputs and ensures very high sensitivity. Experimental results confirm the simulations and the analyzed second-order effects.(More)
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