Abstract
The Euclidean distance function is very important in instrumentation circuits, communication, neural networks, display systems or classification algorithms, useful for vector quantization or nearest neighbor classification. In order to obtain a good frequency response, the Euclidean distance circuits are implemented using exclusively MOS transistors working in saturation. Depending on their input variable, the Euclidean distance circuits can be classified in computational structures having current-input or voltage-input vectors.
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Popa, C.R. (2012). Euclidean Distance Circuits. In: Synthesis of Computational Structures for Analog Signal Processing. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0403-3_6
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DOI: https://doi.org/10.1007/978-1-4614-0403-3_6
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