A method for extracting the semantic features of speech signal recognition based on empirical wavelet transform

Autor: Oleksandr Lavrynenko, Denys Bakhtiiarov, Vitalii Kurushkin, Serhii Zavhorodnii, Veniamin Antonov, Petro Stanko

Publikováno v: Радіоелектронні і комп'ютерні системи, Vol 0, Iss 3, Pp 101-124 (2023)

The subject of this study is methods for improving the efficiency of semantic coding of speech signals. The purpose of this study is to develop a method for improving the efficiency of semantic coding of speech signals. Coding efficiency refers to th

Externí odkaz: https://doaj.org/article/84a53e5396a8483984cb448aeaef98ad

Detection and Estimation of Helicopters Vibrations by Adaptive Notch Filters

Autor: Marc Salesse, Nacer K. M'Sirdi, Antoine Monneau, Jean Sequeira, Sébastien Mavromatis, Guillaume Varra

Publikováno v: 17th International Conference on Informatics in Control, Automation and Robotics
17th International Conference on Informatics in Control, Automation and Robotics, Jul 2020, Online Streaming, France. ⟨10.5220/0009910302010207⟩
ICINCO

International audience; This paper addresses online vibration detection in helicopters using Adaptive Filters. Adaptive Notch Filters (ANF) are used to estimate and track the time varying frequencies of the vibrations. We estimate and track the ampli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f669b299a2aaa80cc330b6b9b283caef
https://hal-amu.archives-ouvertes.fr/hal-02936935/document

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