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Learning coefficient in estimation of covariance matrices.

Learning coefficient in estimation of covariance matrices.
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Accounting for Structured Missingness in Canonical Correlation Analysis

Radosavljević L, Smith SM, Nichols TE.
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Estimation of structured covariance matrices

Proceedings of the IEEE, 1982
Covariance matrices from stationary time series are Toeplitz. Multichannel and multidimensional processes have covariance matrices of block Toeplitz form. In these cases and many other situations, one knows that the actual covariance matrix belongs to a particular subclass of covariance matrices.
J.P. Burg, D.G. Luenberger, D.L. Wenger
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Estimation of hyperspectral covariance matrices

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Estimation of covariance matrices is a fundamental step in hyperspectral remote sensing where most detection algorithms make use of the covariance matrix in whitening procedures. We present a simple method to improve the estimation of the eigenvalues of a sample covariance matrix. With the improved eigenvalues we construct an improved covariance matrix.
Avishai Ben-David, Charles E. Davidson
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Robust estimation of structured covariance matrices

IEEE Transactions on Signal Processing, 1993
Summary: In the context of the narrow-band array processing problem, we develop robust methods to accurately estimate the spatial correlation matrix using a priori information about the matrix structure. For Gaussian processes, structured estimates previously have been developed which find the maximum likelihood covariance matrix estimate subject to ...
Williams, Douglas B., Johnson, Don H.
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Estimation of Space-Varying Covariance Matrices

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
This paper considers the representation of human trajectories in video signals. These trajectories are modeled by switched dynamical models, based on motion fields that drive the pedestrian during consecutive time intervals. This paper addresses the estimation of uncertainty in trajectory generation by using space-varying covariance matrices estimated ...
Catarina Barata, Joao M. Lemos, Jorge S. Marques   +2 more
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