Matrix-free Krylov iteration for implicit convolution of numerically low-rank data-Reference-Cited by-同舟云学术

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Matrix-free Krylov iteration for implicit convolution of numerically low-rank data

Published:2016-12 Issue: Volume:308 Page:98-116
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Breuer Alex,Lumsdaine Andrew

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference38 articles.

1. Subspace-based signal analysis using singular value decomposition;Van Der Veen;Proc. IEEE,1993

2. Principal component analysis in ECG signal processing;Castells;EURASIP J. Appl. Signal Process.,2007

3. Proper orthogonal decomposition and its applications—part I: Theory;Liang;J. Sound Vib.,2002

4. Lessons in Estimation Theory for Signal Processing, Communications, and Control;Mendel,1995

5. Principal Component Analysis;Jolliffe,2002

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fractional convolution associated with a class of integral equations;IET Signal Processing;2020-02

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