2011
DOI: 10.1002/mop.26336
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Limit for the proportion of remaining samples in the mode‐stirred chamber sample selection technique

Abstract: An expression is derived for the maximum proportion of remaining samples in the sample selection technique for mode-stirred chamber measurements. The limit is independent of the selection algorithm used. The limit is verified in simulations as well as measurement examples.

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Cited by 5 publications
(2 citation statements)
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“…In this process, the number of data samples is reduced. By mathematical derivation, we can calculate the maximum number of remaining samples for a given target correlation value, as a function of the correlation in the initial data by [12], The number of remaining samples is important in order to obtain a good accuracy in the measurements. In this case we can see a big reduction in the number of samples for some combinations of initial/target correlations.…”
Section: Application To Correlation Coefficientmentioning
confidence: 99%
“…In this process, the number of data samples is reduced. By mathematical derivation, we can calculate the maximum number of remaining samples for a given target correlation value, as a function of the correlation in the initial data by [12], The number of remaining samples is important in order to obtain a good accuracy in the measurements. In this case we can see a big reduction in the number of samples for some combinations of initial/target correlations.…”
Section: Application To Correlation Coefficientmentioning
confidence: 99%
“…In this process, the number of data samples is reduced. By mathematical derivation, we can calculate the maximum number of remaining samples for a given target correlation value, as a function of the correlation in the initial data by [116], -ρ i is the correlation coefficient of the initial distribution.…”
Section: Mimo Capacitymentioning
confidence: 99%