Results 11 to 20 of about 243,165 (311)
Minimum mean square error estimation [PDF]
Applications of Mathematics, 1979 In many cases we can consider the regression parameters as realizations of a random variable. In these situations the minimum mean square error estimator seems to be useful and important. The explicit form of this estimator is given in the case that both the covariance matrices of the random parameters and those of the error vector are singular.
Wimmer, Gejza
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Performance analysis of V-BLAST signal detection algorithm in MIMO system
上海师范大学学报. 自然科学版, 2021 In this paper, the commonly used minimum mean square error algorithm, zero-forcing detection algorithm, nonlinear detection algorithm and orthogonal triangular decomposition detection algorithm in the vertical layered space-time detection algorithm were ...
ZHANG Ming +3 more
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IEEE Access, 2020 For linear dynamic systems with Gaussian noise, the Kalman filter provides the Minimum Mean-Square Error (MMSE) state estimation by tracking the posterior. Similarly, for systems with Gaussian Mixture (GM) noise distributions, a bank of Kalman filters or
Leila Pishdad, Fabrice Labeau
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New Journal of Physics, 2023 Quantum state tomography (QST) is essential for characterizing unknown quantum states. Several methods of estimating quantum states already exist and can be classified mainly into three broad classes.
Subhadeep Mondal, Amit Kumar Dutta
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Entropy, 2022 Multiple-input Multiple-Output (MIMO) systems require orthogonal frequency division multiplexing to operate efficiently in multipath communication (OFDM).
Dhanasekaran S +5 more
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LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation
Entropy, 2017 This paper presents a novel low probability of intercept (LPI) optimization framework in radar network by minimizing the Schleher intercept factor based on minimum mean-square error (MMSE) estimation.
Ji She +3 more
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Receiver Multiuser Diversity Aided Multi-Stage MMSE Multiuser Detection for DS-CDMA and SDMA Systems Employing I-Q Modulation [PDF]
, 2010 The so-called receiver multiuser diversity aided multistage minimum mean-square error multiuser detector (RMD/MS-MMSE MUD), which was proposed previously by the author, is investigated in the context of the direct-sequence code-division multiple-access ...
Yang, Lie-Liang, Lie-Liang Yang
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IEEE Access, 2020 This work proposes novel techniques toward the design of optimal pilot sequences to perform channel estimation in block transmission systems over wideband frequency selective wireless fading channels.
Manjeer Majumder, Aditya K. Jagannatham
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On the minimum of the mean-squared error in 2-means clustering [PDF]
Involve, a Journal of Mathematics, 2019 We study the minimum mean-squared error for 2-means clustering when the outcomes of the vector-valued random variable to be clustered are on two touching spheres of unit radius in $n$-dimensional Euclidean space and the underlying probability distribution is the normalized surface measure.
Bodmann, Bernhard G., George, Craig J.
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Minimum mean square distance estimation of a subspace [PDF]
, 2011 We consider the problem of subspace estimation in a Bayesian setting. Since we are operating in the Grassmann manifold, the usual approach which consists of minimizing the mean square error (MSE) between the true subspace U and its estimate U may not be ...
Jean-Yves Tourneret +5 more
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