structured low rank approximation Latest Research Papers

Structured Low-Rank Approximation: Optimization on Matrix Manifold Approach

International Journal of Applied and Computational Mathematics ◽

10.1007/s40819-021-01162-8 ◽

2021 ◽

Vol 7 (6) ◽

Author(s):

Tanay Saha ◽

Swanand Khare

Keyword(s):

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation ◽

Approximation Optimization ◽

Structured Low Rank Approximation

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Computation of the nearest non-prime polynomial matrix: Structured low-rank approximation approach

Linear Algebra and its Applications ◽

10.1016/j.laa.2020.12.034 ◽

2021 ◽

Vol 616 ◽

pp. 84-124

Author(s):

Tanay Saha ◽

Swanand R. Khare

Keyword(s):

Polynomial Matrix ◽

Low Rank ◽

Low Rank Approximation ◽

Approximation Approach ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Common dynamic estimation via structured low-rank approximation with multiple rank constraints

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2021.08.342 ◽

2021 ◽

Vol 54 (7) ◽

pp. 103-107

Author(s):

Antonio Fazzi ◽

Nicola Guglielmi ◽

Ivan Markovsky ◽

Konstantin Usevich

Keyword(s):

Low Rank ◽

Low Rank Approximation ◽

Dynamic Estimation ◽

Rank Approximation ◽

Rank Constraints ◽

Structured Low Rank Approximation

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A gradient system approach for Hankel structured low-rank approximation

Linear Algebra and its Applications ◽

10.1016/j.laa.2020.11.016 ◽

2020 ◽

Author(s):

Antonio Fazzi ◽

Nicola Guglielmi ◽

Ivan Markovsky

Keyword(s):

System Approach ◽

Low Rank ◽

Gradient System ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.2020eap1062 ◽

2020 ◽

Author(s):

Riku AKEMA ◽

Masao YAMAGISHI ◽

Isao YAMADA

Keyword(s):

Low Rank ◽

Simultaneous Diagonalization ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Software package for mosaic-Hankel structured low-rank approximation

2019 IEEE 58th Conference on Decision and Control (CDC) ◽

10.1109/cdc40024.2019.9028867 ◽

2019 ◽

Author(s):

Konstantin Usevich ◽

Ivan Markovsky

Keyword(s):

Software Package ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Quadratic Envelope Regularization for Structured Low Rank Approximation

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2019.8683420 ◽

2019 ◽

Cited By ~ 1

Author(s):

Jamie Caprani ◽

Marcus Carlsson

Keyword(s):

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Fixed-point algorithms for frequency estimation and structured low rank approximation

Applied and Computational Harmonic Analysis ◽

10.1016/j.acha.2017.03.004 ◽

2019 ◽

Vol 46 (1) ◽

pp. 40-65 ◽

Cited By ~ 6

Author(s):

Fredrik Andersson ◽

Marcus Carlsson

Keyword(s):

Fixed Point ◽

Frequency Estimation ◽

Low Rank ◽

Low Rank Approximation ◽

Fixed Point Algorithms ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Positive Semidefinite Hankel Structured Low Rank Approximation using Vandermonde Decomposition

2019 Fifth Indian Control Conference (ICC) ◽

10.1109/indiancc.2019.8715594 ◽

2019 ◽

Author(s):

Suman Rakshit ◽

Swanand R. Khare

Keyword(s):

Positive Semidefinite ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-93764-9_44 ◽

2018 ◽

pp. 479-487

Author(s):

Ivan Markovsky ◽

Pier Luigi Dragotti

Keyword(s):

Low Rank ◽

Sparse Signal ◽

Sparse Signal Recovery ◽

Signal Recovery ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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structured low rank approximation
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Structured Low-Rank Approximation: Optimization on Matrix Manifold Approach

Computation of the nearest non-prime polynomial matrix: Structured low-rank approximation approach

Common dynamic estimation via structured low-rank approximation with multiple rank constraints

A gradient system approach for Hankel structured low-rank approximation

Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation

Software package for mosaic-Hankel structured low-rank approximation

Quadratic Envelope Regularization for Structured Low Rank Approximation

Fixed-point algorithms for frequency estimation and structured low rank approximation

Positive Semidefinite Hankel Structured Low Rank Approximation using Vandermonde Decomposition

Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery

Export Citation Format

structured low rank approximationRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Structured Low-Rank Approximation: Optimization on Matrix Manifold Approach

Computation of the nearest non-prime polynomial matrix: Structured low-rank approximation approach

Common dynamic estimation via structured low-rank approximation with multiple rank constraints

A gradient system approach for Hankel structured low-rank approximation

Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation

Software package for mosaic-Hankel structured low-rank approximation

Quadratic Envelope Regularization for Structured Low Rank Approximation

Fixed-point algorithms for frequency estimation and structured low rank approximation

Positive Semidefinite Hankel Structured Low Rank Approximation using Vandermonde Decomposition

Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery

structured low rank approximation
Recently Published Documents