Results 61 to 70 of about 2,749,514 (184)

Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models [PDF]

Estimating a covariance matrix efficiently and discovering its structure are important statistical problems with applications in many fields. This article takes a Bayesian approach to estimate the covariance matrix of Gaussian data.
Christopher K. Carter, Helen Armstrong, Robert Kohn, Kevin K. F. Wong   +3 more
core  

Robust DOA estimation for two‐level nested arrays in unknown mutual coupling

Electronics Letters
Aiming at solving the problem that the capability of direction of arrival method for estimation of nested arrays decreases sharply under unknown mutual coupling, an iterative weighted low‐rank matrix reconstruction algorithm is proposed here.
Shun He, Xue Li, Bing Sun
doaj   +1 more source

The K-Step Spatial Sign Covariance Matrix [PDF]

The Sign Covariance Matrix is an orthogonal equivariant estimator of mul- tivariate scale. It is often used as an easy-to-compute and highly robust estimator.
Yadine, A., Croux, C., Dehon, C.
core  

SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data [PDF]

, 2011
In ``-omic data'' analysis, information on the structure of covariates are broadly available either from public databases describing gene regulation processes and functional groups such as the Kyoto encyclopedia of genes and genomes (KEGG), or from ...
Tenenhaus, Arthur, Boulesteix, Anne-Laure, Guillemot, Vincent, Jelizarow, Monika   +3 more
core   +1 more source

Improved HAC Covariance Matrix Estimation Based on Forecast Errors [PDF]

We propose computing HAC covariance matrix estimators based on one-stepahead forecasting errors. It is shown that this estimator is consistent and has smaller bias than other HAC estimators.
Yu-Wei Hsieh, Chung-Ming Kuan
core  

Dynamic phasor measurement algorithm based on high-precision time synchronization

Frontiers in Signal Processing
Ensuring the swift and precise tracking of power system signal parameters, especially the frequency, is imperative for the secure and stable operation of power grids. In instances of faults within the distribution network, abrupt changes in frequency may
Jie Zhang, Jie Zhang, Fuxin Li, Zhengwei Chang, Chunhua Hu, Chun Liu, Sihao Tang   +6 more
doaj   +1 more source

Ridge estimation of covariance matrix from data in two classes [PDF]

, 2000
summary:This paper deals with the problem of estimating a covariance matrix from the data in two classes: (1) good data with the covariance matrix of interest and (2) contamination coming from a Gaussian distribution with a different covariance matrix ...
Zhou, Yi, Zhang, Bin, M. Ahsanullah, V.B. Nevzorov   +3 more
core   +1 more source

Mainlobe Interference Suppression Based on Compressive Sensing and Covariance Matrix Reconstruction [PDF]

Radioengineering
When mainlobe interference exists in space, the traditional anti-interference methods have problems such as peak offset and the performance of sidelobe interference suppression reduction.
X. Zhao, A. Ren
doaj  

Efficient and Robust Adaptive Beamforming Based on Coprime Array Interpolation

Remote Sensing
Unlike uniform linear arrays (ULAs), coprime arrays require fewer physical sensors yet provide higher degrees of freedom (DOF) and larger array apertures.
Siming Chen, Xiaochuan Wu, Shujie Li, Weibo Deng, Xin Zhang   +4 more
doaj   +1 more source

Robust space-time adaptive processing based on covariance matrix reconstruction and steering vector correction

The Journal of Engineering, 2019
Clutter presents considerable heterogeneity in forward-looking airborne radar (FLAR) applications and conventional space-time adaptive processing (STAP) methods are sensitive to model mismatch.
Xueyao Hu, Xinyu Zhang, Yang Li, Hongyu Wang, Yanhua Wang   +4 more
doaj   +1 more source