Results 11 to 20 of about 209,947 (320)
Oblique Matching Pursuit [PDF]
IEEE Signal Processing Letters, 2006 A method for selecting a suitable subspace for discriminating signal components through an oblique projection is proposed. The selection criterion is based on the consistency principle introduced by M. Unser and A. Aldroubi and extended by Y. Elder.
Rebollo-Neira, Laura
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Image retrieval with hierarchical matching pursuit [PDF]
, 2014 A novel representation of images for image retrieval is introduced in this paper, by using a new type of feature with remarkable discriminative power. Despite the multi-scale nature of objects, most existing models perform feature extraction on a fixed ...
Bu, Shasha, Zhang, Yu-Jin
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Perturbed Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Signal Processing, 2013 Cataloged from PDF version of article.Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed with an underdetermined linear measurement model.
Arikan, O., Gurbuz, A. C., Teke, O.
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Multipath Matching Pursuit [PDF]
IEEE Transactions on Information Theory, 2013 In this paper, we propose an algorithm referred to as multipath matching pursuit (MMP) that investigates multiple promising candidates to recover sparse signals from compressed measurements. Our method is inspired by the fact that the problem to find the candidate that minimizes the residual is readily modeled as a combinatoric tree search problem and ...
Suhyuk, Kwon, Jian Wang, Byonghyo Shim
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Simultaneous optimized orthogonal matching pursuit with application to ECG compression. [PDF]
PLoS ONEA greedy pursuit strategy which finds a common basis for approximating a set of similar signals is proposed. The strategy extends the Optimized Orthogonal Matching Pursuit approach to selecting the subspace containing the approximation of all the signals
Laura Rebollo-Neira
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A Weak Selection Stochastic Gradient Matching Pursuit Algorithm [PDF]
Sensors, 2019 In the existing stochastic gradient matching pursuit algorithm, the preliminary atomic set includes atoms that do not fully match the original signal. This weakens the reconstruction capability and increases the computational complexity.
Liquan Zhao, Yunfeng Hu, Yanfei Jia
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Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Information Theory, 2007 This paper demonstrates theoretically and empirically that a greedy algorithm called Orthogonal Matching Pursuit (OMP) can reliably recover a signal with $m$ nonzero entries in dimension $d$ given $ {rm O}(m ln d)$ random linear measurements of that ...
Gilbert, Anna C., Tropp, Joel A.
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Dictionary learning with equiprobable matching pursuit [PDF]
2017 International Joint Conference on Neural Networks (IJCNN), 2017 8 pages, 8 ...
Fredrik Sandin, Sergio Martin-del-Campo
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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.
Wang, Jian +2 more
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Parallel Matching Pursuit Algorithm and Analysis
SSRN Electronic Journal, 2022 Wenbiao Tian +3 more
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