2001
DOI: 10.1109/82.938362
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Error-compensated analog cells for vector multiplication and vector quantization

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Cited by 4 publications
(3 citation statements)
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“…The inputs to the ADALINE are the cues, the weights are the regression coefficients, and the output is the sum of the weighted inputs. This is exactly the form of a multivariate regression equation: Y = -*cue, + 32 -cue2 + A3-cue3+... (4) The ADALINE computes the estimated output, Y, but the actual output, either Y. or Ys, is used to adjust the weights after each decision is made. Implementation of the ADALINE is accomplished with a standard multiplier (such as a Gilbert multiplier) and a current summing circuit.…”
Section: Lenschip Overviewmentioning
confidence: 99%
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“…The inputs to the ADALINE are the cues, the weights are the regression coefficients, and the output is the sum of the weighted inputs. This is exactly the form of a multivariate regression equation: Y = -*cue, + 32 -cue2 + A3-cue3+... (4) The ADALINE computes the estimated output, Y, but the actual output, either Y. or Ys, is used to adjust the weights after each decision is made. Implementation of the ADALINE is accomplished with a standard multiplier (such as a Gilbert multiplier) and a current summing circuit.…”
Section: Lenschip Overviewmentioning
confidence: 99%
“…Finally the correlation coefficients must be calculated, which is done in the correlator blocks shown in Figure 1. The correlator block is composed of difference squaring circuits (see [4]), square root circuits and a ratio circuit.…”
Section: Lenschip Overviewmentioning
confidence: 99%
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