“…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].…”
A method for the architectural selection of analog to digital (A/D) converters based on a generic figure of merit is described. First a figure of merit for the power consumption is introduced. This figure of merit includes both target specifications and technology data and has five generic parameters. The values of these generic parameters can be estimated by analyzing the different converter structures or by means of a fitting procedure using data from published designs. It is shown that the generic parameters have different values for different types of converters. Therefore the trade-off between speed, resolution, power dissipation and technology parameters depends on the type of converter. It is shown that the calculated figures of merit of the published designs, together with the calculated global trade-off comprise a surface in the (5 dimensional) design space. This surface makes it possible to accurately predict the power consumption and select the best converter solution for a certain target application. This can then serve as a first step in data converter synthesis or as a power estimator during high-level system design exploration.
“…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].…”
A method for the architectural selection of analog to digital (A/D) converters based on a generic figure of merit is described. First a figure of merit for the power consumption is introduced. This figure of merit includes both target specifications and technology data and has five generic parameters. The values of these generic parameters can be estimated by analyzing the different converter structures or by means of a fitting procedure using data from published designs. It is shown that the generic parameters have different values for different types of converters. Therefore the trade-off between speed, resolution, power dissipation and technology parameters depends on the type of converter. It is shown that the calculated figures of merit of the published designs, together with the calculated global trade-off comprise a surface in the (5 dimensional) design space. This surface makes it possible to accurately predict the power consumption and select the best converter solution for a certain target application. This can then serve as a first step in data converter synthesis or as a power estimator during high-level system design exploration.
“…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.…”
A method for the architectural selection of analog to digital (A/D) converters based on a generic figure of merit is described. First a figure of merit for the power consumption is introduced. This figure of merit includes both target specifications and technology data and has five generic parameters. The values of these generic parameters can be estimated by analyzing the different converter structures or by means of a fitting procedure using data from published designs. It is shown that the generic parameters have different values for different types of converters. Therefore the trade-off between speed, resolution, power dissipation and technology parameters depends on the type of converter. It is shown that the calculated figures of merit of the published designs, together with the calculated global trade-off comprise a surface in the (5 dimensional) design space. This surface makes it possible to accurately predict the power consumption and select the best converter solution for a certain target application. This can then serve as a first step in data converter synthesis or as a power estimator during high-level system design exploration.
“…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].…”
A method for the architectural selection of analog to digital (AD) converters based on a generic figure of merit is described. First a figure of merit for the power consumption is introduced. This figure of merit includes both target specifications and technology data and has five generic parameters. The values of these generic parameters can be estimated by analyzing the different converter structures or by means of a fitting procedure using data from published designs.It is shown that the generic parameters have different values for different types of converters. Therefore the trade-off between speed, resolution, power dissipation and technology parameters depends on the type of converter. It is shown that the calculated figures of merit of the published designs, together with the calculated global trade-off comprise a surface in the (5 dimensional) design space. This surface makes it possible to accurately predict the power consumption and select the best converter solution for a certain target application. This can then serve as a first step in data converter synthesis or as a power estimator during high-level system design exploration.
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