Short time measurement of frequency and amplitude in the presence of noise

Zayezdny, A.; Adler, Y.; Druckmann, I.

doi:10.1109/19.153336

Cited by 26 publications

(3 citation statements)

References 6 publications

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“…Other approaches with time representation have been proposed [6]. Among them, the evaluation of the signal as a sine wave based on 3 consecutive points [31] or the direct computation of the frequency based on the second derivative of the signal [32] are proposed. They nonetheless are also sensitive to noise and designed to work in specific contexts.…”

Section: Period Detectionmentioning

confidence: 99%

Linguistic summaries of locally periodic time series

Moyse

Lesot

2016

Fuzzy Sets and Systems

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International audienceThis paper proposes a method to linguistically summarise the local periodic components of a time series: it identifies subparts of the data which are periodic, together with their periodicity degree and period, and provides a linguistic description thereof. The generated sentences can be illustrated by the example " Approximately from March to June, the series is highly periodic with a period of exactly 2 weeks ". The method proposed to identify local periodic zones relies on the determination of relevant auto-adaptive windows, based on an analytical expression of the probability distribution of the considered periodicity criterion. The linguistic description generation, in the protoform approach framework, expresses three core aspects of the identified periodic intervals, namely their time context or localisation in time, their periodicity and their period. Intensive experiments performed on both artificial and real data validate the proposed method

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Section: Period Detectionmentioning

confidence: 99%

Linguistic summaries of locally periodic time series

Moyse

Lesot

2016

Fuzzy Sets and Systems

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“…Methods used for this estimation are for example classical zero-crossing method and its modifications [1], dynamic parameter estimation method [2,3], method of orthogonal filtration [4][5][6] and [18], STFT [7], DFT in combination with Prony method [8], DFT combined with windowing and interpolation [13,14], and other methods (e.g. [9,10]). An overview of methods of the instantaneous frequency estimation is presented in [11], eight basic methods usable for power-line frequency estimation are compared in [12].…”

Section: Introductionmentioning

confidence: 99%

“…Estimation of the instantaneous power-line frequency is therefore investigated in many laboratories (see e.g. [1][2][3][4][5][6][7][8][9][10][11][12]). Methods used for this estimation are for example classical zero-crossing method and its modifications [1], dynamic parameter estimation method [2,3], method of orthogonal filtration [4][5][6] and [18], STFT [7], DFT in combination with Prony method [8], DFT combined with windowing and interpolation [13,14], and other methods (e.g.…”

Section: Introductionmentioning

confidence: 99%