Results 1 to 10 of about 768,860 (284)
Matching pursuit shrinkage in Hilbert spaces [PDF]
Signal Processing, 2011 In this paper, we study a variant of the Matching Pursuit named Matching Pursuit Shrinkage. Similarly to the Matching Pursuit it seeks for an approximation of a datum living in a Hilbert space by a sparse linear expansion in an enumerable set of atoms.
Tieyong Zeng, François Malgouyres
exaly +7 more sources
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
doaj +2 more sources
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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Machine Learning, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pascal Vincent, Yoshua Bengio
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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.
Byonghyo Shim, Jian Wang
exaly +4 more sources
Kernel matching pursuit for large datasets [PDF]
Pattern Recognition, 2005 Kernel matching pursuit is a greedy algorithm for building an approximation of a discriminant function as a linear combination of some basis functions selected from a kernel-induced dictionary. Here we propose a modification of the kernel matching pursuit algorithm that aims at making the method practical for large datasets.
Vlad Popovici +2 more
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An Improved Orthogonal Matching Pursuit Algorithm for CS-Based Channel Estimation [PDF]
Sensors, 2023 Hang Yin, Weizhang Xu, Xinle Yu
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Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method
CT Lilun yu yingyong yanjiu, 2023 The strata with large impedance differences are presented as strong amplitude seismic events on the seismic profile, which obscure useful information of nearby reservoirs and need interpretive target processing to remove the strong shielding.
Xi'an WANG +5 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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Electrical Faults Signals Restoring Based on Compressed Sensing Techniques
Energies, 2020 This research focuses on restoring signals caused by power failures in transmission lines using the basis pursuit, matching pursuit, and orthogonal matching pursuit sensing techniques.
Milton Ruiz, Iván Montalvo
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