The SVD and reduced rank signal processing-Reference-Cited by-同舟云学术

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The SVD and reduced rank signal processing

Published:1991-11 Issue:2 Volume:25 Page:113-133
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Scharf Louis L

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference25 articles.

1. A new look at the statistical model identification;Akaike;IEEE Trans. Automat. Control,1974

2. Adaptive arrays with main beam constraints;Applebaum;IEEE Trans. Antennas and Propagation,1976

3. Identification of subspaces;Behrens,1990

4. Principe de la goniométrie passive adaptative;Bienvenu,1979

5. Exact maximum likelihood identification of superimposed exponentials in noise;Bressler;IEEE Trans. Acoust. Speech Signal Process.,1986

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1. Fast random vector transforms in terms of pseudo-inverse within the Wiener filtering paradigm;Journal of Computational and Applied Mathematics;2024-10

2. Multivariate reduced rank regression by signal subspace matching;Signal Processing;2024-07

3. A Least-Square Unified Framework for Spatial Filtering in SSVEP-Based BCIs;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

4. Enhancing the SVD compression losslessly;Journal of Computational Science;2023-12

5. Optimal estimation of distributed highly noisy signals within KLT-Wiener archetype;Digital Signal Processing;2023-11

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