Results 11 to 20 of about 66,013 (262)
Image compression-encryption method based on two-dimensional sparse recovery and chaotic system [PDF]
Scientific Reports, 2021 In this paper, we propose an image compression-encryption method based on two-dimensional (2D) sparse representation and chaotic system. In the first step of this method, the input image is extended in a transform domain to obtain a sparse representation.
Aboozar Ghaffari
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Sparse Recovery Using Sparse Matrices [PDF]
Proceedings of the IEEE, 2010 In this paper, we survey algorithms for sparse recovery problems that are based on sparse random matrices. Such matrices has several attractive properties: they support algorithms with low computational complexity, and make it easy to perform incremental updates to signals.
Anna Gilbert, Piotr Indyk
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A Review of Sparse Recovery Algorithms [PDF]
IEEE Access, 2019 Nowadays, a large amount of information has to be transmitted or processed. This implies high-power processing, large memory density, and increased energy consumption.
Elaine Crespo Marques +4 more
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Identification-While-Scanning of a Multi-Aircraft Formation Based on Sparse Recovery for Narrowband Radar [PDF]
Sensors, 2016 It is known that the identification performance of a multi-aircraft formation (MAF) of narrowband radar mainly depends on the time on target (TOT).
Yuan Jiang +5 more
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Sparse recovery with integrality constraints [PDF]
Discrete Applied Mathematics, 2020 We investigate conditions for the unique recoverability of sparse integer-valued signals from a small number of linear measurements. Both the objective of minimizing the number of nonzero components, the so-called $\ell_0$-norm, as well as its popular substitute, the $\ell_1$-norm, are covered.
Jan-Hendrik Lange +3 more
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Learning-based accelerated sparse signal recovery algorithms
ICT Express, 2021 In this paper, we propose an accelerated sparse recovery algorithm based on inexact alternating direction of multipliers. We formulate a sparse recovery problem with a concave regularizer and solve it with the relaxed and accelerated alternating method ...
Dohyun Kim, Daeyoung Park
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Group-sparse matrix recovery [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 We apply the OSCAR (octagonal selection and clustering algorithms for regression) in recovering group-sparse matrices (two-dimensional---2D---arrays) from compressive measurements. We propose a 2D version of OSCAR (2OSCAR) consisting of the $\ell_1$ norm and the pair-wise $\ell_{\infty}$ norm, which is convex but non-differentiable.
Xiangrong Zeng, Mário A. T. Figueiredo
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ISAR Imaging Algorithm Based on Iterative Weighted L2/L1 Norm Block Sparse Signal Recovery [PDF]
Jisuanji gongcheng, 2018 In order to realize fast and high resolution Inverse Synthetic Aperture Radar(ISAR)imaging,an iterative weighted L2/L1 norm block sparse recovery algorithm for ISAR imaging is proposed based on the target’s intrinsic block sparse structure information ...
FENG Junjie,ZHANG Gong
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Sparse Recovery With Graph Constraints [PDF]
IEEE Transactions on Information Theory, 2015 Sparse recovery can recover sparse signals from a set of underdetermined linear measurements. Motivated by the need to monitor large-scale networks from a limited number of measurements, this paper addresses the problem of recovering sparse signals in the presence of network topological constraints.
Meng Wang 0003 +3 more
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Lower Bounds for Sparse Recovery [PDF]
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010 11 pages.
Indyk, Piotr +3 more
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