Results 91 to 100 of about 3,390,517 (303)
Channel Covariance Identification in FDD Massive MIMO Systems
Proceedings, 2018 Channel estimation for Massive MIMO systems has drawn a lot of attention in the last years. A number of estimation methods rely on the knowledge of the channel covariance matrix to operate. However, this covariance is not known in practice, and it should
José P. González-Coma +3 more
doaj +1 more source
Honey, I shrunk the sample covariance matrix [PDF]
The central message of this paper is that nobody should be using the sample covariance matrix for the purpose of portfolio optimization. It contains estimation error of the kind most likely to perturb a mean-variance optimizer.
Michael Wolf, Olivier Ledoit
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Model Predictive Control for Magnetically Actuated Cellbots
Advanced Robotics Research, EarlyView.Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah +8 more
wiley +1 more source
Jackknife covariance matrix estimation for observations from mixture
Modern Stochastics: Theory and Applications, 2019 A general jackknife estimator for the asymptotic covariance of moment estimators is considered in the case when the sample is taken from a mixture with varying concentrations of components. Consistency of the estimator is demonstrated.
Rostyslav Maiboroda, Olena Sugakova
doaj +1 more source
Robust Covariance Matrix Estimation for High-Dimensional Compositional Data with Application to Sales Data Analysis. [PDF]
J Bus Econ Stat, 2023 Li D, Srinivasan A, Chen Q, Xue L.
europepmc +1 more source
The effect on cosmological parameter estimation of a parameter dependent covariance matrix [PDF]
, 2019 Cosmological large-scale structure analyses based on two-point correlation functions often assume a Gaussian likelihood function with a fixed covariance matrix. We study the impact on cosmological parameter estimation of ignoring the parameter dependence
David Alonso +2 more
core +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
IEEE Open Journal of Signal ProcessingThis paper presents a novel direction of arrival (DOA) estimation method via rotation spatial differencing technique that offers high resolution, robustness, and stable performance. To suppress external environmental noise and improve estimation accuracy,
Peng Luo, Boyu Pang, Defeng Wu, W. Zeng
doaj +1 more source
Improved Speech Spatial Covariance Matrix Estimation for Online Multi-Microphone Speech Enhancement. [PDF]
Sensors (Basel), 2022 Kim M, Cheong S, Song H, Shin JW.
europepmc +1 more source
The affine equivariant sign covariance matrix: asymptotic behavior and efficiencies. [PDF]
We consider the affine equivariant sign covariance matrix (SCM) introduced by Visuri et al. (J. Statist. Plann. Inference 91 (2000) 557). The population SCM is shown to be proportional to the inverse of the regular covariance matrix. The eigenvectors and
Croux, Christophe, Ollila, E, Oja, H
core