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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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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An orthogonal matching pursuit optimization method for solving minimum-monitor-unit problems: Applications to proton IMPT, ARC and FLASH. [PDF]
Med Phys, 2023 The intensities (i.e., number of protons in monitor unit [MU]) of deliverable proton spots need to be either zero or meet a minimum‐MU (MMU) threshold, which is a nonconvex problem. Since the dose rate is proportionally associated with the MMU threshold,
Zhu YN +4 more
europepmc +2 more sources
Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach. [PDF]
IEEE Trans Automat Contr, 2022 This article considers identification of sparse Volterra systems. A method based on the almost orthogonal matching pursuit (AOMP) is proposed. The AOMP algorithm allows one to estimate one nonzero coefficient at a time until all nonzero coefficients are ...
Cheng C, Bai EW, Peng Z.
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Perturbed Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Signal Processing, 2013 Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed with an underdetermined linear measurement model. However, in reality there is a mismatch between the assumed and the actual bases due to factors such as discretization of the parameter space defining basis components, sampling jitter in A/D ...
Teke O., Gurbuz, A.C., Arikan, O.
openaire +8 more sources
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 ...
J. Tropp, Anna C. Gilbert
semanticscholar +7 more sources
Ultrasound Defect Localization in Shell Structures with Lamb Waves Using Spare Sensor Array and Orthogonal Matching Pursuit Decomposition. [PDF]
Sensors (Basel), 2021 Lamb waves have multimodal and dispersion effects, which reduces their performance in damage localization with respect to resolution. To detect damage with fewest sensors and high resolution, a method, using only two piezoelectric transducers and based ...
Mu W, Gao Y, Liu G.
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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 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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