Results 31 to 40 of about 140,209 (263)

Multiple‐input multiple‐output sonar adaptive beamforming using transmission diversity smoothing and backward processing

IET Radar, Sonar & Navigation, 2023
Benefit from the transmission diversity smoothing (TDS) effect upon coherent targets decorrelation, the kind of adaptive beamformers can be directly applied for multiple‐input multiple‐output (MIMO) sonar applications.
Kuan Fan, Xionghou Liu, Chao Sun
doaj   +1 more source

Estimating the covariance matrix: a new approach [PDF]

Journal of Multivariate Analysis, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tatsuya Kubokawa, M. S. Srivastava
openaire   +2 more sources

Identification of Block-Structured Covariance Matrix on an Example of Metabolomic Data

Separations, 2021
Modern investigation techniques (e.g., metabolomic, proteomic, lipidomic, genomic, transcriptomic, phenotypic), allow to collect high-dimensional data, where the number of observations is smaller than the number of features.
Adam Mieldzioc, Monika Mokrzycka, Aneta Sawikowska   +2 more
doaj   +1 more source

Bayesian Inference for a Covariance Matrix

The Annals of Statistics, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leonard, Tom, Hsu, John S. J.
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Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix

Leida xuebao, 2017
In the background of sea clutter, the accuracy of adaptive target detection is heavily influenced by the estimated performance of speckle covariance matrix.
Yu Han, Shui Penglang, Yang Chunjiao, Shi Sainan   +3 more
doaj   +1 more source

High-Dimensional Covariance Estimation via Constrained L_q-Type Regularization

Mathematics, 2023
High-dimensional covariance matrix estimation is one of the fundamental and important problems in multivariate analysis and has a wide range of applications in many fields.
Xin Wang, Lingchen Kong, Liqun Wang, Zhaoqilin Yang   +3 more
doaj   +1 more source

Covariance beamforming, covariance matrix tapers and matrix beamforming are related

Electronics Letters, 2008
It is shown that the covariance beamforming, covariance matrix tapers and matrix beamforming approaches, which were considered separately from one another in the previous array processing literature, are in fact related. The relationships between them in terms of both generality and design procedures are clarified.
J. Li, P. Stoica, T. Yardibi
openaire   +1 more source

Asset Allocation Strategies Using Covariance Matrix Estimators

Acta Universitatis Sapientiae: Economics and Business, 2022
The covariance matrix is an important element of many asset allocation strategies. The widely used sample covariance matrix estimator is unstable especially when the number of time observations is small and the number of assets is large or when high ...
László PáL
doaj   +1 more source

Missing Covariance Matrix Recovery with the FDA-MIMO Radar Using Deep Learning Method

Leida xuebao, 2023
The realization of anti-jamming technologies via beamforming for applications in Frequency-Diverse Arrays and Multiple-Input and Multiple-Output (FDA-MIMO) radar is a field that is undergoing intensive research.
Zihang DING, Junwei XIE, Bo WANG
doaj   +1 more source

Matrix Completion With Covariate Information

Journal of the American Statistical Association, 2018
This paper investigates the problem of matrix completion from corrupted data, when additional covariates are available. Despite being seldomly considered in the matrix completion literature, these covariates often provide valuable information for completing the unobserved entries of the high-dimensional target matrix A0. Given a covariate matrix X with
Xiaojun Mao, Chen, Song Xi, Wong, Raymond K. W.   +2 more
openaire   +1 more source