A zero crossing algorithm for the estimation of the frequency of a single sinusoid in white noise

Friedman, V.

doi:10.1109/78.286978

Cited by 77 publications

(36 citation statements)

References 6 publications

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“…The Bellcore power level test measures the dynamic range and sensitivity of the DTMF detector. The test starts with the DTMF tone level at 0 dBm dBm is de ned as 10 log 10 signal power 10 ,3 W . We decrease the DTMF power level from 0 dBm to ,36 dBm in steps of 1 dBm.…”

Section: Resultsmentioning

confidence: 99%

A low-complexity ITU-compliant dual tone multiple frequency detector

Deosthali

McCaslin

Evans

2000

IEEE Trans. Signal Process.

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Section: Resultsmentioning

confidence: 99%

A low-complexity ITU-compliant dual tone multiple frequency detector

Deosthali

McCaslin

Evans

2000

IEEE Trans. Signal Process.

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“…The instantaneous frequency of the fundamental component was obtained using the zero-crossing method [15] and the method proposed by this paper. The results from both methods are shown and compared in Fig.16, focusing only on the waveform distortion in both frequency and amplitude.…”

Section: Methodsmentioning

confidence: 99%

New Adaptive Linear Combination Structure for Tracking/Estimating Phasor and Frequency of Power System

Choowong-Wattanasakpubal¹,

Teratum-Bunyagul²

2010

Journal of Electrical Engineering and Technology

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-This paper presents new Adaptive Linear Combination Structure (ADALINE) for tracking/estimating voltage-current phasor and frequency of power system. To estimate the phasors and frequency from sampled data, the algorithm assumes that orthogonal coefficients and speed of angular frequency of power system are unknown parameters. With adequate sampled data, the estimation problem can be considered as a linear weighted least squares (LMS) problem. In addition to determining the phasors (orthogonal coefficients), the procedure estimates the power system frequency. The main algorithm is verified through a computer simulation and data from field. The proposed algorithm is tested with transient and dynamic behaviors during power swing, a step change of frequency upon islanding of small generators and disconnection of load. The algorithm shows a very high accuracy, robustness, fast response time and adaptive performance over a wide range of frequency, from 10 to 2000 Hz.

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“…Without loss of generality, from the view of digital signal observation, ZC points detecting as depicted in (3) may lead to a case of crabs. Although [14] proposed a simple method based on linear interpolation to detect ZC points, its use is restricted due to the effect of noise.…”

Section: B Zero Crossing Points Detectionmentioning

confidence: 99%

A zero crossing algorithm for time delay estimation

Zhou

Qiao

Zhao

et al. 2012

2012 IEEE 11th International Conference on Signal Processing

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A new algorithm for time delay estimation (TDE) is proposed, based on zero crossing (ZC). The basic model of zero crossing TDE is discussed, and the mean squared error with additive white Gaussian noise is derived by a theoretic equation. It is shown that the accuracy of TDE is a function of signal-tonoise ratio (SNR), signal frequency and numbers of ZC points. The ZC algorithm approaches a comparable accuracy with FFT method for high SNR, though with low computational complexity and low processing latency. The proposed zero crossing estimator is suitable for real-time applications.

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A zero crossing algorithm for the estimation of the frequency of a single sinusoid in white noise

Cited by 77 publications

References 6 publications

A low-complexity ITU-compliant dual tone multiple frequency detector

A low-complexity ITU-compliant dual tone multiple frequency detector

New Adaptive Linear Combination Structure for Tracking/Estimating Phasor and Frequency of Power System

A zero crossing algorithm for time delay estimation

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