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Published in 2017 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2016.2599536
Abstract: A switched-capacitor matrix multiplier is presented for approximate computing and machine learning applications. The multiply-and-accumulate operations perform discrete-time charge-domain signal processing using passive switches and 300 aF unit capacitors. The computation is digitized with a…
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Keywords:
approximate computing;
matrix multiplier;
switched capacitor;
capacitor matrix ... See more keywords