Rapid Estimation of Orthogonal Matching Pursuit Representation [PDF]
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020 Orthogonal Matching Pursuit (OMP) has proven itself to be a significant algorithm in image and signal processing domain in the last decade to estimate sparse representations in dictionary learning. Over the years, efforts to speed up the OMP algorithm for the same accuracy has been through variants like generalized OMP (g-OMP) and fast OMP (f-OMP). All
Ayan Chatterjee, Peter W. T. Yuen
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A Sharp Bound on RIC in Generalized Orthogonal Matching Pursuit [PDF]
Canadian Mathematical Bulletin, 2018 AbstractThe generalized orthogonal matching pursuit (gOMP) algorithm has received much attention in recent years as a natural extension of the orthogonal matching pursuit (OMP). It is used to recover sparse signals in compressive sensing. In this paper, a new bound is obtained for the exact reconstruction of every K-sparse signal via the gOMP algorithm
Wengu Chen, Huanmin Ge
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Orthogonal Matching Pursuit Under the Restricted Isometry Property [PDF]
Constructive Approximation, 2016 12 ...
Albert Cohen +2 more
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Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach. [PDF]
IEEE Trans Automat Contr, 2022 Cheng C, Bai EW, Peng Z.
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High resolution direction of arrival (DOA) estimation based on improved orthogonal matching pursuit (OMP) algorithm by iterative local searching. [PDF]
Sensors (Basel), 2013 Wang W, Wu R.
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Model-Driven Deep-Learning-Based Underwater Acoustic OTFS Channel Estimation
Journal of Marine Science and Engineering, 2023 Accurate channel estimation is the fundamental requirement for recovering underwater acoustic orthogonal time–frequency space (OTFS) modulation signals.
Yuzhi Zhang +4 more
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Perturbed Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Signal Processing, 2013 Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed with an underdetermined linear measurement model. However, in reality there is a mismatch between the assumed and the actual bases due to factors such as discretization of the parameter space defining basis components, sampling jitter in A/D ...
Oguzhan Teke +2 more
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An improved algorithm of segmented orthogonal matching pursuit based on wireless sensor networks
International Journal of Distributed Sensor Networks, 2022 Aiming at the problems of low data reconstruction accuracy in wireless sensor networks and users unable to receive accurate original signals, improvements are made on the basis of the stagewise orthogonal matching pursuit algorithm, combined with ...
Xinmiao Lu +4 more
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Generalized Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Signal Processing, 2012 As a greedy algorithm to recover sparse signals from compressed measurements, orthogonal matching pursuit (OMP) algorithm has received much attention in recent years. In this paper, we introduce an extension of the OMP for pursuing efficiency in reconstructing sparse signals.
Jian Wang 0016 +2 more
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Hybrid Precoding Algorithm Based on Discrete Orthogonal Matching Pursuit for Millimeter-Wave Relay Networks [PDF]
Jisuanji gongcheng, 2020 In order to improve the beamforming gain of massive Multiple-Input Multiple-Output(MIMO) relay system and reduce the hardware cost of phase shifters and radio frequency links in hybrid precoding architecture,this paper proposes a hybrid precoding ...
DING Qingfeng, GAO Xinpeng, DENG Yuqian
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