Results 121 to 130 of about 17,988 (163)

Recursive single frequency estimation

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
A common problem in communications is the estimation of the frequency of a single complex sinusoid in additive noise. Since the wireless environment is often characterized by poor SNR, it is of interest to find methods of frequency estimation that work well in low SNR environments.
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Estimation and Optimization of the Efficiency of a Recursive Conveyor

Automation and Remote Control, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Rate of Convergence of Recursive Estimators

SIAM Journal on Control and Optimization, 1992
Summary: It is proved that the sequence of recursive estimators generated by Ljung's scheme combined with a suitable restarting mechanism converges under certain conditions with rate \(O_ M(n^{-1/2})\), where the rate is measured by the \(L_ q\)-norm of the estimation error for any \(1\leq ...
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A Representation Theorem for the Error of Recursive Estimators

SIAM Journal on Control and Optimization, 2005
The ultimate objective of this paper is to develop new techniques that can be used for the analysis of performance degradation due to statistical uncertainty for a wide class of linear stochastic systems. For this we need new technical tools similar to those used in [L. Gerencser, Statist. Plann. Inference, 41 (1994), pp. 303-325].
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Recursive credibility estimation

Scandinavian Actuarial Journal, 1981
Abstract The paper treats models in which credibility estimators may be updated recursively as time passes. It is shown that when updating the credibility estimators, we get their estimation errors updated as a by-product. The models treated include cases with an unknown underlying random parameter that develops over time.
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Recursive Estimates of Probability Densities

IEEE Transactions on Systems Science and Cybernetics, 1969
Charles T. Wolverton, Terry J. Wagner
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Linear Recursive Estimation

1973
A fundamental problem in communication and control is the filtering (estimation) problem which can be stated as follows: Given an observed process $$y(t;\omega )$$ which has the structure: $$y(t;\omega ) = s(t;\omega )\, + \,n(t;\omega )$$ where s(t;ω) is the “signal process” and n(t;ω) the “observation error” or “noise” modelled as a ...
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Recursive state estimation for state-saturated systems with two groups of measurements: Handling delayed and degraded sensors

Information Fusion, 2023
Chuanbo Wen, Zidong Wang, Lifeng Ma
exaly  

Maximum Likelihood Recursive Generalized Extended Least Squares Estimation Methods for a Bilinear-parameter Systems with ARMA Noise Based on the Over-parameterization Model

International Journal of Control, Automation and Systems, 2022
Haibo Liu, Junwei Wang, Yan Ji
exaly  

Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling

IEEE Transactions on Neural Networks and Learning Systems, 2020
Jun Hu, Zidong Wang, Guo-Ping Liu
exaly