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ECG Classification Using Orthogonal Matching Pursuit and Machine Learning [PDF]
Sensors, 2022 Health monitoring and related technologies are a rapidly growing area of research. To date, the electrocardiogram (ECG) remains a popular measurement tool in the evaluation and diagnosis of heart disease.
Sandra Śmigiel
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Preconditioned generalized orthogonal matching pursuit [PDF]
EURASIP Journal on Advances in Signal Processing, 2020 Recently, compressed sensing (CS) has aroused much attention for that sparse signals can be retrieved from a small set of linear samples. Algorithms for CS reconstruction can be roughly classified into two categories: (1) optimization-based algorithms ...
Zhishen Tong +4 more
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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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An Improved Orthogonal Matching Pursuit Algorithm for CS-Based Channel Estimation [PDF]
Sensors, 2023 Wireless broadband transmission channels usually have time-domain-sparse properties, and the reconstruction of these channels using a greedy search-based orthogonal matching pursuit (OMP) algorithm can effectively improve channel estimation performance ...
Lu Si, Weizhang Xu, Xinle Yu, Hang Yin
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RobOMP: Robust variants of Orthogonal Matching Pursuit for sparse representations [PDF]
PeerJ Computer Science, 2019 Sparse coding aims to find a parsimonious representation of an example given an observation matrix or dictionary. In this regard, Orthogonal Matching Pursuit (OMP) provides an intuitive, simple and fast approximation of the optimal solution. However, its
Carlos A. Loza
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Optimized orthogonal matching pursuit approach [PDF]
IEEE Signal Processing Letters, 2002 An adaptive procedure for signal representation is proposed. The representation is built up through functions (atoms) selected from a redundant family (dictionary). At each iteration, the algorithm gives rise to an approximation of a given signal, which is guaranteed 1) to be the orthogonal projection of a signal onto the subspace generated by the ...
L Rebollo-Neira
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A New Generalized Orthogonal Matching Pursuit Method [PDF]
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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A Sharp RIP Condition for Orthogonal Matching Pursuit [PDF]
Abstract and Applied Analysis, 2013 A restricted isometry property (RIP) condition δK+KθK ...
Wei Dan
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A new result on recovery sparse signals using orthogonal matching pursuit
Statistical Theory and Related Fields, 2022 Orthogonal matching pursuit (OMP) algorithm is a classical greedy algorithm widely used in compressed sensing. In this paper, by exploiting the Wielandt inequality and some properties of orthogonal projection matrix, we obtained a new number of ...
Xueping Chen +2 more
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On The Exact Recovery Condition of Simultaneous Orthogonal Matching Pursuit [PDF]
IEEE Signal Processing Letters, 2016 Several exact recovery criteria (ERC) ensuring that orthogonal matching pursuit (OMP) identifies the correct support of sparse signals have been developed in the last few years. These ERC rely on the restricted isometry property (RIP), the associated restricted isometry constant (RIC) and sometimes the restricted orthogonality constant (ROC).
Jean-François Determe +2 more
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