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- W2014164799 abstract "Much can be learnt about a system by studying how its various transfer functions vary with frequency. The best measured signal-to-noise ratio (SNR), and hence the most precise results, will occur when a sequence of stimuli, each containing only a single frequency, is applied to the system. However, it is often advantageous to shorten the total measurement time, with a consequent decrease in the measured SNR, by applying a stimulus that simultaneously contains several different frequency components. The author considers the various compromises between the measured SNR and the frequency components that are simultaneously present. The author concentrates upon improvements in the measured SNR that result from optimum phasing of the harmonic components. Calculations show that the SNR of a system with a transfer function that is substantially independent of frequency can thus be improved by a factor of approximately k0.4, where k denotes the number of frequencies that are simultaneously present. The measured SNR will thus vary approximately as k-0.6 if optimum waveforms are used." @default.
- W2014164799 created "2016-06-24" @default.
- W2014164799 creator A5016867536 @default.
- W2014164799 date "1995-09-01" @default.
- W2014164799 modified "2023-09-26" @default.
- W2014164799 title "Phasing of harmonic components to optimize measured signal-to-noise ratios of transfer functions" @default.
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- W2014164799 doi "https://doi.org/10.1088/0957-0233/6/9/015" @default.
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