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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Bibliographic Details
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
Description
Summary: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
ISSN:2352-7110