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

B. Boashash | Zendy; Abdeldjalil Aïssa El Bey | Zendy; Mohammad Al-Sa’d | Zendy

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

Author(s) -

B. Boashash,

Abdeldjalil Aïssa El Bey,

Mohammad Al-Sa’d

Publication year - 2018

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2017.12.002

Subject(s) - computer science , matlab , signal processing , signal (programming language) , digital signal processing , wireless , real time computing , artificial intelligence , computer hardware , telecommunications , programming language , operating system

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 Aissa-El-Bey (in press) [ 2 ].

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