Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data
Boualem Boashash, Abdeldjalil Aïssa-El-Bey, Mohammad F. Al-Sa’d
SoftwareX · 2018
doi:10.1016/j.softx.2017.12.002 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
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
Abstract licence: CC BY-NC
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.