Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data

The Multisensor Time–FrequencySignal Processing (MTFSP) Matlab package is an analysis tool for multichannel non-stationary signals collected from an array of sensors. By combining array signal processing for non-stationary signals and multichannel high resolution time–frequency methods, MTFSP enable...

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Main Authors: Boualem Boashash, Abdeldjalil Aïssa-El-Bey, Mohammad F. Al-Sa’d
Format: Article
Language:English
Published: Elsevier 2018-07-01
Series:SoftwareX
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711017300687
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spelling doaj-54a43926278b4c22b806c215555c70a12020-11-25T00:44:07ZengElsevierSoftwareX2352-71102018-07-0185358Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary dataBoualem Boashash0Abdeldjalil Aïssa-El-Bey1Mohammad F. Al-Sa’d2Corresponding author (formerly with Qatar University).; The University of Queensland, Centre for Clinical Research, Brisbane, Australia; IMT Atlantique, UMR CNRS 6285 Lab-STICC, UBL, F-29238 Brest, FranceThe University of Queensland, Centre for Clinical Research, Brisbane, Australia; IMT Atlantique, UMR CNRS 6285 Lab-STICC, UBL, F-29238 Brest, FranceThe University of Queensland, Centre for Clinical Research, Brisbane, Australia; IMT Atlantique, UMR CNRS 6285 Lab-STICC, UBL, F-29238 Brest, FranceThe Multisensor Time–FrequencySignal Processing (MTFSP) Matlab package is an analysis tool for multichannel non-stationary signals collected from an array of sensors. By combining array signal processing for non-stationary signals and multichannel high resolution time–frequency methods, MTFSP enables applications such as cross-channel causality relationships, automated component separation and direction of arrival estimation, using multisensor time–frequency distributions (MTFDs). MTFSP can address old and new applications such as: abnormality detection in biomedical signals, source localization in wireless communications or condition monitoring and fault detection in industrial plants. It allows e.g. the reproduction of the results presented in Boashash and Aïssa-El-Bey (in press) [2]. Keywords: Multisensor time–frequency analysis, Direction of arrival, Automated component separation, Blind source separation, Non-stationary array processing, Cross-channel causality analysishttp://www.sciencedirect.com/science/article/pii/S2352711017300687
collection DOAJ
language English
format Article
sources DOAJ
author Boualem Boashash
Abdeldjalil Aïssa-El-Bey
Mohammad F. Al-Sa’d
spellingShingle Boualem Boashash
Abdeldjalil Aïssa-El-Bey
Mohammad F. Al-Sa’d
Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data
SoftwareX
author_facet Boualem Boashash
Abdeldjalil Aïssa-El-Bey
Mohammad F. Al-Sa’d
author_sort Boualem Boashash
title Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data
title_short Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data
title_full Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data
title_fullStr Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data
title_full_unstemmed Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data
title_sort multisensor time–frequency signal processing matlab package: an analysis tool for multichannel non-stationary data
publisher Elsevier
series SoftwareX
issn 2352-7110
publishDate 2018-07-01
description The Multisensor Time–FrequencySignal Processing (MTFSP) Matlab package is an analysis tool for multichannel non-stationary signals collected from an array of sensors. By combining array signal processing for non-stationary signals and multichannel high resolution time–frequency methods, MTFSP enables applications such as cross-channel causality relationships, automated component separation and direction of arrival estimation, using multisensor time–frequency distributions (MTFDs). MTFSP can address old and new applications such as: abnormality detection in biomedical signals, source localization in wireless communications or condition monitoring and fault detection in industrial plants. It allows e.g. the reproduction of the results presented in Boashash and Aïssa-El-Bey (in press) [2]. Keywords: Multisensor time–frequency analysis, Direction of arrival, Automated component separation, Blind source separation, Non-stationary array processing, Cross-channel causality analysis
url http://www.sciencedirect.com/science/article/pii/S2352711017300687
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