2014
DOI: 10.2478/msr-2014-0048
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Two New Sliding DTFT Algorithms for Phase Difference Measurement Based on a New Kind of Windows

Abstract: For the ultra-low frequency signals or adjacent Nyquist frequency signals, which exist in the vibration engineering domain, the traditional DTFT-based algorithm shows serious bias for phase difference measurement. It is indicated that the spectrum leakage and negative frequency contribution are the essential causes of the bias. In order to improve the phase difference measurement accuracy of the DTFT-based algorithm, two new sliding DTFT algorithms for phase difference measurement based on a new kind of window… Show more

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Cited by 14 publications
(2 citation statements)
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“…As long as the frequency is estimated, the estimation of amplitude and initial phase can be obtained subsequently. Therefore, the frequency estimation algorithms are mainly introduced in this paper [3].…”
Section: Introductionmentioning
confidence: 99%
“…As long as the frequency is estimated, the estimation of amplitude and initial phase can be obtained subsequently. Therefore, the frequency estimation algorithms are mainly introduced in this paper [3].…”
Section: Introductionmentioning
confidence: 99%
“…The measurement precision of CMF is mainly dependent on estimating the phase difference and frequency from the CMF signal. Therefore, accurate phase difference and frequency estimation is very important in CMF field [4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%