1993
DOI: 10.1109/20.281369
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Determining a signal to noise ratio for an arbitrary data sequence by a time domain analysis

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Cited by 22 publications
(7 citation statements)
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“…In order to be as unbiased as possible, the test signal should reasonably simulate random user data and be long enough to estimate the noise. A time-domain technique developed by Mian and Howell [12] based on the autocorrelation of the signal from a PRBS satisfies these requirements. The autocorrelation signal-to-noise ratio (ACSN) measured with 20 periods of a 127-bit PRBS for the CoCrPt alloy media measured with the single-turn head is shown in Fig.…”
Section: A Head/disk Parametric Propertiesmentioning
confidence: 96%
“…In order to be as unbiased as possible, the test signal should reasonably simulate random user data and be long enough to estimate the noise. A time-domain technique developed by Mian and Howell [12] based on the autocorrelation of the signal from a PRBS satisfies these requirements. The autocorrelation signal-to-noise ratio (ACSN) measured with 20 periods of a 127-bit PRBS for the CoCrPt alloy media measured with the single-turn head is shown in Fig.…”
Section: A Head/disk Parametric Propertiesmentioning
confidence: 96%
“…The SNR is calculated using the ratio of rms signal power to rms noise power. Hence this method gives similar results to a measurement of SNR taken with a spectrum analyzer [7], [8]. However, we emphasize that the contact tester detects signal from written transitions as a function of spatial position down the track, rather than as a function of time, as one might measure on a spin stand.…”
Section: Experimental Methodsmentioning
confidence: 51%
“…This method is based on the properties of the cross-correlation coefficient between two different random variables [7]. The SNR is calculated using the ratio of rms signal power to rms noise power.…”
Section: Experimental Methodsmentioning
confidence: 99%
“…/yS and /fS are the mean values of azimuth angle y and polar angle f, respectively. where the Var and s states the variance and standard deviation, respectively [22]. It should be noted that in the high frequency range like 423 kfci, the time domain method underestimates the SNR compared with the frequency domain method.…”
Section: Resultsmentioning
confidence: 99%