Results 31 to 40 of about 268,605 (307)
Estimation in a multiplicative mixed model involving a genetic relationship matrix [PDF]
Genetics Selection Evolution, 2009 Genetic models partitioning additive and non-additive genetic effects for populations tested in replicated multi-environment trials (METs) in a plant breeding program have recently been presented in the literature. For these data, the variance model involves the direct product of a large numerator relationship matrix A, and a complex structure for the ...
Kelly, Alison M. +4 more
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Bayesian orthogonal component analysis for sparse representation [PDF]
, 2010 This paper addresses the problem of identifying a lower dimensional space where observed data can be sparsely represented. This under-complete dictionary learning task can be formulated as a blind separation problem of sparse sources linearly mixed with ...
Dobigeon, Nicolas, Tourneret, Jean-Yves
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IEEE Access, 2018 This paper considers the problems of synchronous orthogonal frequency-hopping (FH) signals separation and direction of arrival (DOA) estimation in the underdetermined situation.
Chaozhu Zhang, Yu Wang, Fulong Jing
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International Journal of Antennas and Propagation, 2013 This paper addresses the problem of direction-of-arrival (DOA) estimation of coherent signals in the presence of unknown mutual coupling, and an autoregression (AR) model-based method is proposed.
Zhi-Chao Sha +3 more
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An Unbiased Estimator of the Covariance Matrix of the Mixed Regression Estimator [PDF]
Journal of the American Statistical Association, 1991 Abstract This article derives an unbiased estimator of the covariance matrix of the “mixed regression” estimator suggested by Theil and Goldberger for combining prior information with the sample information in regression analysis. This derivation facilitates the construction of finite-sample standard errors for the mixed estimators of the individual ...
D. E. A. Giles, V. K. Srivastava
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Sensors, 2019 In maneuvering target tracking applications, the performance of the traditional interacting multiple model (IMM) filter deteriorates seriously under heavy-tailed measurement noises which are induced by outliers.
Dong Li, Jie Sun
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Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization
Remote Sensing, 2021 Unsupervised hyperspectral unmixing methods aim to extract endmember spectra and infer the proportion of each of these spectra in each observed pixel when considering linear mixtures.
Fatima Zohra Benhalouche +3 more
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A Constrained EM Algorithm for Independent Component Analysis [PDF]
, 2001 We introduce a novel way of performing independent component analysis using a constrained version of the expectation-maximization (EM) algorithm. The source distributions are modeled as D one-dimensional mixtures of gaussians.
Weber, Markus, Welling, Max
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On Improving Recovery Performance in Multiple Measurement Vector Having Dependency
IEEE Access, 2019 The multiple measurement vector (MMV) problem is applicable in a wide range of applications such as photoplethysmography (PPG), remote PPG measurement, heart rate estimation, and directional arrival estimation of multiple sources.
Seyyed Hamed Fouladi +1 more
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Hybrid Estimation of CMB Polarization Power Spectra [PDF]
, 2006 This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation.
Efstathiou, G.
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