Results 51 to 60 of about 206,616 (184)
A Dictionary-Based Pursuit Algorithm for Magnetotelluric Signal-Noise Separation
IEEE AccessA critical challenge in magnetotelluric (MT) studies is the effective suppression of noise in collected data prior to investigating deep geological structures and detecting deep-seated blind ore bodies.
Jin Cai, Jianhua Cai
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, 2013 In this paper, we propose an algorithm referred to as multipath matching pursuit 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 the ...
Suhyuk, Kwon, Wang, Jian, Shim, Byonghyo
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Backward-Optimized Orthogonal Matching Pursuit Approach [PDF]
IEEE Signal Processing Letters, 2004 A recursive approach for shrinking coefficients of an atomic decomposition is proposed. The corresponding algorithm evolves so as to provide at each iteration 1) the orthogonal projection of a signal onto a reduced subspace and 2) the index of the coefficient to be disregarded in order to construct a coarser approximation minimizing the norm of the ...
Andrle, Miroslav +2 more
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On the Uniqueness of Sparse Time-Frequency Representation of Multiscale Data [PDF]
, 2015 In this paper, we analyze the uniqueness of the sparse time frequency decomposition and investigate the efficiency of the nonlinear matching pursuit method. Under the assumption of scale separation, we show that the sparse time frequency decomposition is
Hou, Thomas Y. +2 more
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CT Lilun yu yingyong yanjiu, 2023 To address the low accuracy of reservoir characterization in XiHu Sag in a coal-rich environment, this study developed a matching pursuit technology based on AVO information constraints combined with the AVO intercept and gradient characteristics of coal.
Qingwen LIU, Dewen QIN, Wei HU
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Coherence-Based Performance Guarantees of Orthogonal Matching Pursuit
, 2012 In this paper, we present coherence-based performance guarantees of Orthogonal Matching Pursuit (OMP) for both support recovery and signal reconstruction of sparse signals when the measurements are corrupted by noise.
Calderbank, Robert, Chi, Yuejie
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Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning
Sensors, 2022 A reconstruction algorithm is proposed, based on multi-dictionary learning (MDL), to improve the reconstruction quality of acoustic tomography for complex temperature fields.
Yuankun Wei, Hua Yan, Yinggang Zhou
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Universal Multiscale Matching Pursuits
Journal of Communication and Information Systems, 2000 Dans cet article, nous décrivons l'UMMP (Universal Multiscale Matching Pursuits), un algorithme universel pratique pour la compression multidimensionnelle avec perte de données. La méthode est basée sur une correspondance approximative à plusieurs échelles de motifs récurrents.
M.B. Carvalho +2 more
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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.
Zeng, Tieyong, Malgouyres, François
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Sparse Recovery with Orthogonal Matching Pursuit under RIP
, 2011 This paper presents a new analysis for the orthogonal matching pursuit (OMP) algorithm. It is shown that if the restricted isometry property (RIP) is satisfied at sparsity level $O(\bar{k})$, then OMP can recover a $\bar{k}$-sparse signal in 2-norm.
Zhang, Tong
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