An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient

In compressed sensing, a measurement matrix having low coherence with a specified sparse dictionary has been shown to be advantageous over a Gaussian random matrix in terms of reconstruction performance. In this paper the problem of efficiently designing the measurement matrix is addressed. The meas...

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Main Authors: B. ZHANG, R. YI, Z. WANG, J. PU, . Y. SUN
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2025-06-01
Series:Radioengineering
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Online Access:https://www.radioeng.cz/fulltexts/2025/25_02_0234_0242.pdf
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author B. ZHANG
R. YI
Z. WANG
J. PU
. Y. SUN
author_facet B. ZHANG
R. YI
Z. WANG
J. PU
. Y. SUN
author_sort B. ZHANG
collection DOAJ
description In compressed sensing, a measurement matrix having low coherence with a specified sparse dictionary has been shown to be advantageous over a Gaussian random matrix in terms of reconstruction performance. In this paper the problem of efficiently designing the measurement matrix is addressed. The measurement matrix is designed by iteratively minimizing the difference between the Gram matrix of the sensing matrix and a target Gram matrix. A new target Gram matrix is designed by applying singular value decomposition to the sensing matrix and utilizing entry shrinking in the Gram matrix, leading to lower mutual coherence indicators. An improved Nesterov accelerated gradient algorithm is derived to update the measurement matrix, which can improve the convergence behavior. An efficient optimization algorithm for measurement matrix is proposed on the basis of alternating minimization. The experimental results and analysis show that the proposed algorithm performs well in terms of both computational complexity and reconstruction performance.
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institution OA Journals
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publishDate 2025-06-01
publisher Spolecnost pro radioelektronicke inzenyrstvi
record_format Article
series Radioengineering
spelling doaj-art-ecfa707bd89b4b408d69ffacad0b76252025-08-20T02:36:35ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122025-06-01342234242An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated GradientB. ZHANGR. YIZ. WANGJ. PU. Y. SUNIn compressed sensing, a measurement matrix having low coherence with a specified sparse dictionary has been shown to be advantageous over a Gaussian random matrix in terms of reconstruction performance. In this paper the problem of efficiently designing the measurement matrix is addressed. The measurement matrix is designed by iteratively minimizing the difference between the Gram matrix of the sensing matrix and a target Gram matrix. A new target Gram matrix is designed by applying singular value decomposition to the sensing matrix and utilizing entry shrinking in the Gram matrix, leading to lower mutual coherence indicators. An improved Nesterov accelerated gradient algorithm is derived to update the measurement matrix, which can improve the convergence behavior. An efficient optimization algorithm for measurement matrix is proposed on the basis of alternating minimization. The experimental results and analysis show that the proposed algorithm performs well in terms of both computational complexity and reconstruction performance.https://www.radioeng.cz/fulltexts/2025/25_02_0234_0242.pdfcompressed sensingequiangular tight framesingular value decompositionmutual coherencenesterov accelerated gradient
spellingShingle B. ZHANG
R. YI
Z. WANG
J. PU
. Y. SUN
An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient
Radioengineering
compressed sensing
equiangular tight frame
singular value decomposition
mutual coherence
nesterov accelerated gradient
title An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient
title_full An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient
title_fullStr An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient
title_full_unstemmed An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient
title_short An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient
title_sort efficient optimization algorithm for measurement matrix based on svd and improved nesterov accelerated gradient
topic compressed sensing
equiangular tight frame
singular value decomposition
mutual coherence
nesterov accelerated gradient
url https://www.radioeng.cz/fulltexts/2025/25_02_0234_0242.pdf
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