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2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)
DOI: 10.1109/iscas.2002.1010646
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Regression criteria and their application in different modeling cases

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Cited by 4 publications
(7 citation statements)
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“…Using (5) it becomes clear that even for a O l of two γ 1 has a value of 1.59 which is much smaller than the factor 10 that is predicted by (8). This means that a 1 ranges from 1.3 to 4, depending of what noise source is dominant.…”
Section: Delta Sigma Modulatorsmentioning
confidence: 94%
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“…Using (5) it becomes clear that even for a O l of two γ 1 has a value of 1.59 which is much smaller than the factor 10 that is predicted by (8). This means that a 1 ranges from 1.3 to 4, depending of what noise source is dominant.…”
Section: Delta Sigma Modulatorsmentioning
confidence: 94%
“…Note that (8) predicts that every extra bit of accuracy, takes about a factor 4 in power consumption if the same FOM is to be achieved (this is again the speed-accuracy-power tradeoff). Although this is true if the design is compared to some reference design that has a perfect scaled C s , this seems never to be the case since designs that are compared with this figure of merit do not nearly reach the ideal [4].…”
Section: Delta Sigma Modulatorsmentioning
confidence: 99%
“…The resulting size of the sample and hold capacitance is the same as stated in (7), leading to an expression similar to (8). However, as with the Delta-Sigma case, thermal noise is not the only parameter of consideration.…”
Section: Pipelined Convertersmentioning
confidence: 99%
“…Using ( 5 ) it becomes clear that even for a 0 1 of two yl has a value of 1.59 which is much smaller than the factor 10 that is predicted by (8). This means that a1 ranges from 1.3 to 4, depending of what noise source is dominant.…”
Section: Delta Sigma Modulatorsmentioning
confidence: 95%
“…The power can then be expressed as: ( 7 ) Note that (8) predicts that every extra bit of accuracy, takes about a factor 4 in power consumption if the same FOM is to be achieved (this is again the speed-accuracy-power tradeoff). Although this is true if the design is compared to some reference design that has a perfect scaled C,, this seems never to be the case since designs that are compared with this figure of merit do not nearly reach the ideal [4].…”
Section: Delta Sigma Modulatorsmentioning
confidence: 99%