Results 261 to 270 of about 540,085 (315)
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A New Frequency Estimator in Multi-Frequency Estimation
Applied Mechanics and Materials, 2014By analyzing the second-order and fourth-order IIR filter that affect the variance adaptive prove second-order IIR model has a single peak characteristics, to achieve stable convergence; while the higher-order IIR model polymorphic, so the need for the estimated parameters are initialized conclusions.
Dong Xu Zhu, Jiu Ying Zhi, Gang Fu
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Thresholds in frequency estimation
ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005It is well known that frequency estimation exhibits a threshold effect: as the SNR dips below a certain value (while the number of data points remains fixed) the estimate's variance increases rapidly, and the Cramer-Rao bound is no longer attainable. In this paper, a simple, explicit formula for this threshold will be derived, for the case of a single ...
Allan O. Steinhardt, Chris Bretherton
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Estimation of haplotype frequencies
Tissue Antigens, 1983Maximum likelihood estimates of haplotype frequencies in multilocus systems are often zero and so may be genetically inacceptable. Estimation problems are discussed, and preferable estimates are derived.
N E, Morton +3 more
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2011
Methods of estimating allele frequencies from data on unrelated and related individuals are described in this chapter. For samples of unrelated individuals with simple codominant markers, the natural estimator of allele frequencies can be used. For genetic data on related individuals, maximum likelihood estimation (MLE) can be applied to compute allele
Indra, Adrianto, Courtney, Montgomery
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Methods of estimating allele frequencies from data on unrelated and related individuals are described in this chapter. For samples of unrelated individuals with simple codominant markers, the natural estimator of allele frequencies can be used. For genetic data on related individuals, maximum likelihood estimation (MLE) can be applied to compute allele
Indra, Adrianto, Courtney, Montgomery
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Journal of Time Series Analysis, 1993
Abstract.An algorithm is presented for on‐line estimation of the frequency ω from dataxj=Acos(jω+φ) +μjwhereμjis generated by a stationary process. The algorithm requires only about 20 calculations at each time point. Theorems justifying the algorithm as asymptotically efficient are presented.
Hannan, E. J., Huang, D.
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Abstract.An algorithm is presented for on‐line estimation of the frequency ω from dataxj=Acos(jω+φ) +μjwhereμjis generated by a stationary process. The algorithm requires only about 20 calculations at each time point. Theorems justifying the algorithm as asymptotically efficient are presented.
Hannan, E. J., Huang, D.
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2019 18th European Control Conference (ECC), 2019
In the literature, the problem of frequency estimation is usually cast in a nonlinear parametric fashion. We show in this paper that it can also be formulated in a Bayesian nonparametric framework by assigning a uniform a priori probability distribution to the unknown frequency.
Giorgio Picci, Bin Zhu
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In the literature, the problem of frequency estimation is usually cast in a nonlinear parametric fashion. We show in this paper that it can also be formulated in a Bayesian nonparametric framework by assigning a uniform a priori probability distribution to the unknown frequency.
Giorgio Picci, Bin Zhu
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Threshold Regions in Frequency Estimation
IEEE Transactions on Aerospace and Electronic Systems, 2022This work addresses the problem of threshold region characterization of the maximum likelihood (ML) sinusoid frequency estimation. We first study on the exact analytical expression of the probability of detection for the ML mean square error for all the signal-to-noise ranges.
Ahmet Serbes, Khalid A. Qaraqe
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On a method of estimating frequencies
Biometrika, 1949In Ergänzung der Untersuchungen von \textit{J. B. S. Haldane} [Biometrika 33, 222--225 (1945; Zbl 0063.01881)] über die Schätzung der Häufigkeit \( p \) des Auftretens einer bestimmten Eigenschaft aus Stichproben, deren Erhebung so lange fortgesetzt worden ist, bis die zu betrachtende Eigenschaft eine bestimmte Anzahl von Malen in Erscheinung trat ...
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Biometrika, 1988
A time series model of the form \[ X_ t=a\cos (wt+f)+e_ t \] where \(e_ t\) is a stationary noise sequence is considered. The paper discusses a least squares procedure for estimating a, w and f of the harmonic component. One aim of the paper is to see how reliable the asymptotic theory of the estimates of w is.
Rice, John A., Rosenblatt, Murray
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A time series model of the form \[ X_ t=a\cos (wt+f)+e_ t \] where \(e_ t\) is a stationary noise sequence is considered. The paper discusses a least squares procedure for estimating a, w and f of the harmonic component. One aim of the paper is to see how reliable the asymptotic theory of the estimates of w is.
Rice, John A., Rosenblatt, Murray
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