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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Jump-sparse and sparse recovery using Potts functionals [PDF]
IEEE Transactions on Signal Processing, 2014 We recover jump-sparse and sparse signals from blurred incomplete data corrupted by (possibly non-Gaussian) noise using inverse Potts energy functionals.
Demaret, Laurent +2 more
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Sparse signal recovery from modulo observations [PDF]
EURASIP Journal on Advances in Signal Processing, 2021 We consider the problem of reconstructing a signal from under-determined modulo observations (or measurements). This observation model is inspired by a relatively new imaging mechanism called modulo imaging, which can be used to extend the dynamic range ...
Viraj Shah, Chinmay Hegde
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A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals [PDF]
Discrete Dynamics in Nature and Society, 2014 We present a probabilistic analysis on conditions of the exact recovery of block-sparse signals whose nonzero elements appear in fixed blocks. We mainly derive a simple lower bound on the necessary number of Gaussian measurements for exact recovery of ...
Zhi Han +3 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 Very Sparse Compressed Counting [PDF]
, 2013 Compressed sensing (sparse signal recovery) often encounters nonnegative data (e.g., images). Recently we developed the methodology of using (dense) Compressed Counting for recovering nonnegative K-sparse signals.
Li, Ping, Zhang, Cun-Hui, Zhang, Tong
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Inverse Synthetic Aperture Radar Sparse Imaging Recovery Technique Based on Improved Alternating Direction Method of Multipliers [PDF]
SensorsInverse synthetic aperture radar (ISAR) technology is widely used in the field of target recognition. This research addresses the image reconstruction error in sparse imaging for bistatic radar systems. In this paper, sparse imaging technology is studied,
Hongxing Hao +3 more
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Group-sparse matrix recovery [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 Comment: ICASSP ...
Zeng, Xiangrong +1 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.
Lange, J. +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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