Results 31 to 40 of about 192,768 (193)
Covariance estimation via fiducial inference
Statistical Theory and Related Fields, 2021 As a classical problem, covariance estimation has drawn much attention from the statistical community for decades. Much work has been done under the frequentist and Bayesian frameworks.
W. Jenny Shi +3 more
doaj +1 more source
Adaptive estimation of covariance matrices via Cholesky decomposition [PDF]
, 2010 This paper studies the estimation of a large covariance matrix. We introduce a novel procedure called ChoSelect based on the Cholesky factor of the inverse covariance.
Verzelen, Nicolas
core +3 more sources
The DOA Estimation Method for Low-Altitude Targets under the Background of Impulse Noise
Sensors, 2022 Due to the discontinuity of ocean waves and mountains, there are often multipath propagation effects and obvious pulse characteristics in low-altitude detection.
Bin Lin +4 more
doaj +1 more source
Estimation of Shortest Path Covariance Matrices
, 2020 We study the sample complexity of estimating the covariance matrix $\mathbf \in \mathbb{R}^{d\times d}$ of a distribution $\mathcal D$ over $\mathbb{R}^d$ given independent samples, under the assumption that $\mathbf $ is graph-structured. In particular, we focus on shortest path covariance matrices, where the covariance between any two measurements
Maity, Raj Kumar, Musco, Cameron
openaire +2 more sources
DOA Estimation of Completely Polarized Signals by One-Bit Cross-Dipole Arrays
IEEE AccessThe one-bit cross-dipole array employs one-bit quantization to reduce the sampling system overhead while extracting polarization information from electromagnetic signals, thereby lowering the system complexity of the polarization array.
Yu Wang +5 more
doaj +1 more source
A High-Resolution and Low-Complexity DOA Estimation Method with Unfolded Coprime Linear Arrays
Sensors, 2019 The direction-of-arrivals (DOA) estimation with an unfolded coprime linear array (UCLA) has been investigated because of its large aperture and full degrees of freedom (DOFs).
Wei He, Xiao Yang, Yide Wang
doaj +1 more source
SensorsThis paper aims at achieving real-time optimal speed estimation for an induction motor using the Extended Kalman filter (EKF). Speed estimation is essential for fault diagnosis in Motor Current Signature Analysis (MCSA).
Ines Miloud +4 more
doaj +1 more source
Inference for High-dimensional Differential Correlation Matrices [PDF]
, 2015 Motivated by differential co-expression analysis in genomics, we consider in this paper estimation and testing of high-dimensional differential correlation matrices.
Cai, T. Tony, Zhang, Anru
core +3 more sources
MCMC Estimation of Restricted Covariance Matrices
Journal of Computational and Graphical Statistics, 2009 This article is motivated by the difficulty of applying standard simulation techniques when identification constraints or theoretical considerations induce covariance restrictions in multivariate models. To deal with this difficulty, we build upon a decomposition of positive definite matrices and show that it leads to straightforward Markov chain Monte
Chan, Joshua Chi-Chun, Jeliazkov, Ivan
openaire +2 more sources
Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework [PDF]
, 2013 A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins.
Alrmah, Mohamed +4 more
core +1 more source