Structured low rank approximation
- 1 June 2003
- journal article
- Published by Elsevier in Linear Algebra and its Applications
- Vol. 366, 157-172
- https://doi.org/10.1016/s0024-3795(02)00505-0
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Computationally efficient maximum likelihood estimation of structured covariance matricesIEEE Transactions on Signal Processing, 1999
- A theory of pseudoskeleton approximationsLinear Algebra and its Applications, 1997
- Penalized maximum-likelihood estimation of covariance matrices with linear structureIEEE Transactions on Signal Processing, 1997
- Total least squares for affinely structured matrices and the noisy realization problemIEEE Transactions on Signal Processing, 1994
- Estimation of a signal waveform from noisy data using low-rank approximation to a data matrixIEEE Transactions on Signal Processing, 1993
- Robust estimation of structured covariance matricesIEEE Transactions on Signal Processing, 1993
- Continuity of closest rank-p approximations to matricesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- Rank reduction for modeling stationary signalsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- Eigenvalues and eigenvectors of symmetric centrosymmetric matricesLinear Algebra and its Applications, 1976
- Proximity maps for convex setsProceedings of the American Mathematical Society, 1959