Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses

Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses

The article is devoted to a new approach in the analysis of geoacoustic pulses. The authors proposed a mathematical model based on a sparse representation of the signal. An adaptive matching pursuit method has been developed to identify model parameters. A parallel implementation of this algorithm i...

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Main Authors: Kim Alina, Lukovenkova Olga, Marapulets Yuri, Tristanov Alexander
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20172002003
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spelling doaj-682c7e127f4045dea814ae78bfd5a5fc2021-02-02T08:12:27ZengEDP SciencesE3S Web of Conferences2267-12422017-01-01200200310.1051/e3sconf/20172002003e3sconf_strpep2017_02003Parallel adaptive sparse approximation methods for analysis of geoacoustic pulsesKim AlinaLukovenkova OlgaMarapulets YuriTristanov AlexanderThe article is devoted to a new approach in the analysis of geoacoustic pulses. The authors proposed a mathematical model based on a sparse representation of the signal. An adaptive matching pursuit method has been developed to identify model parameters. A parallel implementation of this algorithm is proposed on the CUDA platform. This allows real-time processing and modeling of signals.https://doi.org/10.1051/e3sconf/20172002003
collection DOAJ
language English
format Article
sources DOAJ
author Kim Alina
Lukovenkova Olga
Marapulets Yuri
Tristanov Alexander
spellingShingle Kim Alina
Lukovenkova Olga
Marapulets Yuri
Tristanov Alexander
Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
E3S Web of Conferences
author_facet Kim Alina
Lukovenkova Olga
Marapulets Yuri
Tristanov Alexander
author_sort Kim Alina
title Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
title_short Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
title_full Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
title_fullStr Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
title_full_unstemmed Parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
title_sort parallel adaptive sparse approximation methods for analysis of geoacoustic pulses
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2017-01-01
description The article is devoted to a new approach in the analysis of geoacoustic pulses. The authors proposed a mathematical model based on a sparse representation of the signal. An adaptive matching pursuit method has been developed to identify model parameters. A parallel implementation of this algorithm is proposed on the CUDA platform. This allows real-time processing and modeling of signals.
url https://doi.org/10.1051/e3sconf/20172002003
work_keys_str_mv AT kimalina paralleladaptivesparseapproximationmethodsforanalysisofgeoacousticpulses
AT lukovenkovaolga paralleladaptivesparseapproximationmethodsforanalysisofgeoacousticpulses
AT marapuletsyuri paralleladaptivesparseapproximationmethodsforanalysisofgeoacousticpulses
AT tristanovalexander paralleladaptivesparseapproximationmethodsforanalysisofgeoacousticpulses
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