Analysis of Structured Low Rank Approximation as an Optimization Problem
暂无分享,去创建一个
[1] Peter Lancaster,et al. The theory of matrices , 1969 .
[2] Ivan Markovsky,et al. Structured low-rank approximation and its applications , 2008, Autom..
[3] Antanas Žilinskas,et al. Subdivision, Sampling, and Initialization Strategies for Simplical Branch and Bound in Global Optimization , 2002 .
[4] R. Plemmons,et al. Structured low rank approximation , 2003 .
[5] James A. Cadzow,et al. Signal enhancement-a composite property mapping algorithm , 1988, IEEE Trans. Acoust. Speech Signal Process..
[6] Sabine Van Huffel,et al. Total least squares problem - computational aspects and analysis , 1991, Frontiers in applied mathematics.
[7] Sabine Van Huffel,et al. Enhanced resolution based on minimum variance estimation and exponential data modeling , 1993, Signal Process..
[8] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[9] Anatoly A. Zhigljavsky,et al. Analysis of Time Series Structure - SSA and Related Techniques , 2001, Monographs on statistics and applied probability.
[10] A. A. Zhigli︠a︡vskiĭ,et al. Theory of Global Random Search , 1991 .
[11] F. R. Gantmakher. The Theory of Matrices , 1984 .
[12] Ivan Markovsky,et al. Bibliography on total least squares and related methods , 2010 .
[13] A. Zilinskas,et al. On the Convergence of the P-Algorithm for One-Dimensional Global Optimization of Smooth Functions , 1999 .
[14] Sabine Van Huffel,et al. Exact and Approximate Modeling of Linear Systems: A Behavioral Approach (Mathematical Modeling and Computation) (Mathematical Modeling and Computation) , 2006 .
[15] D. S. G. Pollock,et al. A handbook of time-series analysis, signal processing and dynamics , 1999 .
[16] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[17] Nina Golyandina,et al. On the choice of parameters in Singular Spectrum Analysis and related subspace-based methods , 2010, 1005.4374.
[18] Jonathan William Gillard,et al. Cadzow's basic algorithm, alternating projections and singular spectrum analysis , 2010 .
[19] Jerry M. Mendel,et al. The constrained total least squares technique and its applications to harmonic superresolution , 1991, IEEE Trans. Signal Process..
[20] G. P. King,et al. Extracting qualitative dynamics from experimental data , 1986 .
[21] A. A. Zhigli︠a︡vskiĭ,et al. Stochastic Global Optimization , 2007 .
[22] L. Mirsky,et al. The Theory of Matrices , 1961, The Mathematical Gazette.
[23] Sabine Van Huffel,et al. Analysis of the Structured Total Least Squares Problem for Hankel/Toeplitz Matrices , 2004, Numerical Algorithms.
[24] A. Zhigljavsky. Stochastic Global Optimization , 2008, International Encyclopedia of Statistical Science.
[25] J. Elsner,et al. Singular Spectrum Analysis: A New Tool in Time Series Analysis , 1996 .
[26] Andrew L. Rukhin,et al. Analysis of Time Series Structure SSA and Related Techniques , 2002, Technometrics.
[27] S. Van Huffel,et al. Exact and Approximate Modeling of Linear Systems: A Behavioral Approach , 2006 .
[28] Bart De Moor,et al. Total least squares for affinely structured matrices and the noisy realization problem , 1994, IEEE Trans. Signal Process..
[29] J. Mockus,et al. The Bayesian approach to global optimization , 1989 .