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   Articles with "matching pursuit" as a keyword



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ERP Analysis Using a Multi-Channel Matching Pursuit Algorithm.

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recommendations! Published in 2022 at "Neuroinformatics"

DOI: 10.1007/s12021-022-09575-6

Abstract: In this study, we propose a new algorithm for analysing event-related components observed in EEG signals in psychological experiments. We investigate its capabilities and limitations. The algorithm is based on multivariate matching pursuit and clustering.… read more here.

Keywords: analysis using; multi channel; pursuit; erp analysis ... See more keywords
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Acoustic sound speed profile inversion based on orthogonal matching pursuit

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recommendations! Published in 2019 at "Acta Oceanologica Sinica"

DOI: 10.1007/s13131-019-1505-4

Abstract: The estimation of ocean sound speed profiles (SSPs) requires the inversion of an acoustic field using limited observations. Such inverse problems are underdetermined, and require regularization to ensure physically realistic solutions. The empirical orthonormal function… read more here.

Keywords: matching pursuit; orthogonal matching; sound; sound speed ... See more keywords
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Bearing fault diagnosis based on Cluster-contraction Stage-wise Orthogonal-Matching-Pursuit

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recommendations! Published in 2019 at "Measurement"

DOI: 10.1016/j.measurement.2019.03.061

Abstract: Abstract This paper presents a novel Cluster-contraction Stage-wise Orthogonal-Matching-Pursuit (CcStOMP) approach for bearing fault information extraction. This approach adds the cluster contraction mechanism to the Stage-wise Orthogonal-Matching-Pursuit (StOMP) algorithm and filter the selected atoms twice… read more here.

Keywords: orthogonal matching; wise orthogonal; fault; cluster contraction ... See more keywords
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A secondary selection-based orthogonal matching pursuit method for rolling element bearing diagnosis

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recommendations! Published in 2021 at "Measurement"

DOI: 10.1016/j.measurement.2021.109199

Abstract: Abstract Sparse representation based on the matching pursuit (MP) algorithm is an effective method for fault feature extraction involving rolling element bearings. However, in the sparse decomposition stage, the MP algorithm is extremely susceptible to… read more here.

Keywords: selection based; matching pursuit; signal; method ... See more keywords
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Distribution agnostic Bayesian matching pursuit based on the exponential embedded family

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.06.007

Abstract: Abstract Compressed sensing (CS) is an emerging field that allows to recover high-dimensional sparse signal from a few compressed measurements. Classical CS algorithms using the Bayesian framework generally impose a sparseness-promoting prior on the signal,… read more here.

Keywords: embedded family; matching pursuit; bayesian matching; agnostic bayesian ... See more keywords
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Greedy algorithms for diffuse optical tomography reconstruction

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recommendations! Published in 2018 at "Optics Communications"

DOI: 10.1016/j.optcom.2017.09.056

Abstract: Abstract Diffuse optical tomography (DOT) is a noninvasive imaging modality that reconstructs the optical parameters of a highly scattering medium. However, the inverse problem of DOT is ill-posed and highly nonlinear due to the zig-zag… read more here.

Keywords: greedy algorithms; diffuse optical; matching pursuit; optical tomography ... See more keywords
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On the Error Probability of Support Recovery for Orthogonal Matching Pursuit With a Random Measurement Matrix

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2995912

Abstract: In this paper, an asymptotic bound on the recovery error probability of a sparse signal is derived for the orthogonal matching pursuit algorithm. The proposed bound is based on the support recovery analysis with a… read more here.

Keywords: error probability; orthogonal matching; random measurement; support recovery ... See more keywords
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A Matching Pursuit-Based Method for Cross-Term Suppression in WVD and its Application to the ENPEMF

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recommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2894223

Abstract: The earth’s natural pulse electromagnetic field (ENPEMF) signal, which is released by the instantaneous disturbance of the earth’s natural changing magnetic field, contains a large amount of information about the changing geological structures and their… read more here.

Keywords: pursuit based; cross term; enpemf signal; matching pursuit ... See more keywords
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Improved W-Transform Incorporating Fast Matching Pursuit Decomposition

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3136600

Abstract: Time-frequency analysis method is an effective tool to describe the relationship between the time and frequency of seismic signal. Accurate time-frequency results help to better delineate subsurface geological structures. S-transform (ST), due to its high… read more here.

Keywords: time frequency; frequency; fast matching; matching pursuit ... See more keywords
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A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers

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recommendations! Published in 2018 at "IEEE Microwave and Wireless Components Letters"

DOI: 10.1109/lmwc.2018.2845947

Abstract: This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral models. The Gram–Schmidt orthogonalization is synergistically integrated into the orthogonal matching pursuit algorithm to decorrelate the… read more here.

Keywords: power amplifiers; predistortion; matching pursuit; pursuit algorithm ... See more keywords
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A Correlation Coefficient Sparsity Adaptive Matching Pursuit Algorithm

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recommendations! Published in 2023 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2023.3252469

Abstract: This letter presents a correlation coefficient sparsity adaptive matching pursuit (CCSAMP) algorithm for practical compressed sensing (CS). The sparsity adaptive matching pursuit (SAMP) has been enhanced using the CCSAMP algorithm. The CCSAMP's capacity to accurately… read more here.

Keywords: adaptive matching; sparsity; matching pursuit; correlation ... See more keywords