Academic Journal

Robust multisensor time-frequency signal processing: A tutorial review with illustrations of performance enhancement in selected application areas

التفاصيل البيبلوغرافية
العنوان: Robust multisensor time-frequency signal processing: A tutorial review with illustrations of performance enhancement in selected application areas
المؤلفون: Boashash, Boualem, Aissa El Bey, Abdeldjalil
المساهمون: Qatar University, Lab-STICC_IMTA_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), Département Signal et Communications (IMT Atlantique - SC), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)
المصدر: ISSN: 1051-2004.
بيانات النشر: HAL CCSD
Elsevier
سنة النشر: 2018
المجموعة: Université de Bretagne Occidentale: HAL
مصطلحات موضوعية: Time-frequency analysis, EEG abnormality source localization, Non-stationary array processing, Multisensor TFDs, Direction of arrival, Blind source separation, Lead field matrix, High-resolution TFDs, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
الوصف: International audience ; This paper presents high-resolution multisensor time-frequency distributions (MTFDs) and their applications to the analysis of multichannel non-stationary signals. The approach combines high-resolution time-frequency analysis and array signal processing methods. The improved performance of MTFDs is demonstrated using several applications including source localization based on direction of arrival (DOA) estimation and automated component separation (ACS) of non-stationary sources, with focus on blind source separation. The MTFD approach is further illustrated by two applications to EEG signals. One specifically uses ACS and DOA estimation methods for artifacts removal and source localization. Another uses MTFDs for cross-channel causality analysis. Data and code are provided to allow readers to reproduce the results presented, and apply these methods to their own data.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: hal-01770948; https://hal.science/hal-01770948; https://hal.science/hal-01770948/document; https://hal.science/hal-01770948/file/DSP_MTFSP_DoubleSpeIssu_v3.pdf
DOI: 10.1016/j.dsp.2017.11.017
الاتاحة: https://hal.science/hal-01770948
https://hal.science/hal-01770948/document
https://hal.science/hal-01770948/file/DSP_MTFSP_DoubleSpeIssu_v3.pdf
https://doi.org/10.1016/j.dsp.2017.11.017
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.FA010B08
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.dsp.2017.11.017