2002
DOI: 10.1049/el:20020026
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Programmable analogue vector-matrix multiplier

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Cited by 14 publications
(2 citation statements)
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“…Vector–vector or matrix–vector multiplication (VVM/MVM) are pervasive operations and the basis of the most relevant and commonly used algorithms in signal processing: 1,2 fast Fourier transforms (FFTs), convolutions, digital filters, and neural networks are some of the most prominent examples. In particular, deep and convolutional neural networks (abbreviated as DNN and ConvNets, respectively), are nowadays receiving considerable attention in the area of machine learning due to its high efficacy in classification tasks.…”
Section: Introductionmentioning
confidence: 99%
“…Vector–vector or matrix–vector multiplication (VVM/MVM) are pervasive operations and the basis of the most relevant and commonly used algorithms in signal processing: 1,2 fast Fourier transforms (FFTs), convolutions, digital filters, and neural networks are some of the most prominent examples. In particular, deep and convolutional neural networks (abbreviated as DNN and ConvNets, respectively), are nowadays receiving considerable attention in the area of machine learning due to its high efficacy in classification tasks.…”
Section: Introductionmentioning
confidence: 99%
“…Programmable MOS resistors or multipliers have been developed as digitally programmable analog circuits 121 [3]. However, these structures are tested in simulation, without mismatching problems, implemented in very low resolution (3 bits) or applied to small academic problems as the XOI logic operation.…”
Section: Introductionmentioning
confidence: 99%