Results 31 to 40 of about 46,224 (313)
A Low-complexity Sparse Channel Estimation Algorithm [PDF]
Jisuanji gongcheng, 2016 Traditional Compressed Sensing(CS)based channel estimation methods are difficult to implement due to their high computational complexity.To solve this problem,Generalized Orthogonal Matching Pursuit(GOMP)algorithm is used for channel estimation,which ...
FAN Xinyue,SU Yantao,ZHOU Fei
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Online Orthogonal Matching Pursuit
, 2020 Greedy algorithms for feature selection are widely used for recovering sparse high-dimensional vectors in linear models. In classical procedures, the main emphasis was put on the sample complexity, with little or no consideration of the computation resources required.
Saad, El Mehdi +2 more
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Structured Bayesian Orthogonal Matching Pursuit [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 Taking advantage of the structures inherent in many sparse decompositions constitutes a promising research axis. In this paper, we address this problem from a Bayesian point of view. We exploit a Boltzmann machine, allowing to take a large variety of structures into account, and focus on the resolution of a joint maximum a posteriori problem.
Drémeau, Angélique +2 more
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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
Chatterjee, Ayan, Yuen, Peter W. T.
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Xibei Gongye Daxue Xuebao, 2020 Efficient localization of multiple targets is one of the basic technical problems in wireless sensor networks (WSN). The traditional sparse representation method based on greedy class is not efficient in multi-target positioning.
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A reduced-complexity compressed sensing channel estimation for underwater acoustic channel
Dianxin kexue, 2021 Aiming at the sparse characteristics of underwater acoustic channels for shallow seas, a reduced-complexity look-ahead backtracking orthogonal matching pursuit (RC-LABOMP) channel estimation algorithm was proposed.Firstly, two types of support sets of ...
Xuan YU, Xuan GENG
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Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery
Axioms, 2023 We propose the Group Orthogonal Matching Pursuit (GOMP) algorithm to recover group sparse signals from noisy measurements. Under the group restricted isometry property (GRIP), we prove the instance optimality of the GOMP algorithm for any decomposable ...
Chunfang Shao +3 more
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Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit
Shock and Vibration, 2022 The transient impact component of early bearing faults is not obvious, and the traditional basis function expansion method is poor in feature extraction under strong noise conditions.
Lei Hou +6 more
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A New Generalized Orthogonal Matching Pursuit Method
Journal of Electrical and Computer Engineering, 2017 To improve the reconstruction performance of the generalized orthogonal matching pursuit, an improved method is proposed. Columns are selected from the sensing matrix by generalized orthogonal matching pursuit, and indices of the columns are added to the
Liquan Zhao, Yulong Liu
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An improved reconstruction algorithm based on compressed sensing for power quality analysis
Cogent Engineering, 2016 The application and analysis of compressive sensing theory in power quality has been received more and more attention. Reconstruction algorithm is one of the most important contents of the compressive sensing theory, and as one of the reconstruction ...
Quandang Ma +3 more
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