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SVD and Signal Processing, III
book

SVD and Signal Processing, III

by M. Moonen, B. De Moor
March 1995
Intermediate to advanced content levelIntermediate to advanced
498 pages
23h 58m
English
Elsevier Science
Content preview from SVD and Signal Processing, III
76
B.L.R. De Moor
Problem
Applications
Decomposition
Approximation B
Algorithms
'Euclidean'
'Riemannian'
TLS (Eckart-Young) Weighted/Structured TLS
Linear relations, noisy data
SVD of A
'Identity' metric
Hankel matrices
Model reduction, Dynamic TLS
Relative error TLS
Maximum likelihood
Riemannian SVD of A
Positive definite metric Du,
Dv
Rank 1 modification Multilinear matrix function
Power method Power method
Christiaan's flow Christiaan's flow
same as the L2-optimal so-called errors-in-variables problem from system identification.
Acknowledgements
The author is a Senior Research Associate of the Belgian National ...
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Publisher Resources

ISBN: 9780444821072