Results 41 to 50 of about 402,138 (284)

New properties for Tyler's covariance matrix estimator [PDF]

open access: yes2016 50th Asilomar Conference on Signals, Systems and Computers, 2016
In this paper, we deal with covariance matrix estimation in complex elliptically symmetric (CES) distributions. We focus on Tyler's estimator (TyE) and the well-known sample covariance matrix (SCM). TyE is widely used in practice, but its statistical behavior is still poorly understood.
Draskovic, Gordana, Pascal, Frédéric
openaire   +2 more sources

Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices [PDF]

open access: yes, 2015
This paper considers sparse spiked covariance matrix models in the high-dimensional setting and studies the minimax estimation of the covariance matrix and the principal subspace as well as the minimax rank detection.
Cai, Tony, Ma, Zongming, Wu, Yihong
core   +3 more sources

Tuning the Parameters for Precision Matrix Estimation Using Regression Analysis

open access: yesIEEE Access, 2019
Precision matrix, i.e., inverse covariance matrix, is widely used in signal processing, and often estimated from training samples. Regularization techniques, such as banding and rank reduction, can be applied to the covariance matrix or precision matrix ...
Jun Tong   +4 more
doaj   +1 more source

Adaptive Thresholding for Sparse Covariance Matrix Estimation [PDF]

open access: yes, 2011
In this paper we consider estimation of sparse covariance matrices and propose a thresholding procedure which is adaptive to the variability of individual entries.
Hawkins D. L., Tony Cai, Weidong Liu
core   +4 more sources

Cross Subaperture Averaging Generalized Sidelobe Canceler Beamforming Applied to Medical Ultrasound Imaging

open access: yesApplied Sciences, 2021
For adaptive ultrasound imaging, a reliable estimation of the covariance matrix has a decisive influence on the performance of beamformers. In this paper, we propose a new cross subaperture averaging generalized sidelobe canceler approach (GSC-CROSS) for
Jin Yang   +5 more
doaj   +1 more source

A Robust Statistics Approach to Minimum Variance Portfolio Optimization [PDF]

open access: yes, 2015
We study the design of portfolios under a minimum risk criterion. The performance of the optimized portfolio relies on the accuracy of the estimated covariance matrix of the portfolio asset returns.
Couillet, Romain   +2 more
core   +4 more sources

Robustness Analysis Of Covariances Matrix Estimates

open access: yes, 2010
Publication in the conference proceedings of EUSIPCO, Aalborg, Denmark ...
Mahot, Mélanie   +3 more
openaire   +3 more sources

Sample Space-time Covariance Matrix Estimation [PDF]

open access: yesICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Estimation errors are incurred when calculating the sample space-time covariance matrix. We formulate the variance of this estimator when operating on a finite sample set, compare it to known results, and demonstrate its precision in simulations.
Connor Delaosa   +4 more
openaire   +1 more source

Shrinking the eigenvalues of M-estimators of covariance matrix [PDF]

open access: yesIEEE Transactions on Signal Processing, 2020
A supplementary report is available at: http://users.spa.aalto.fi/esollila/shrinkM/supplement ...
Palomar, Daniel P.   +3 more
openaire   +3 more sources

Best linear unbiased estimation for varying probability with and without replacement sampling

open access: yesSpecial Matrices, 2019
When sample survey data with complex design (stratification, clustering, unequal selection or inclusion probabilities, and weighting) are used for linear models, estimation of model parameters and their covariance matrices becomes complicated.
Haslett Stephen
doaj   +1 more source

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