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Conference papers
Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors
Abstract : In this paper, a novel gas identification approach based on the Recursive Least Squares (RLS) algorithm is proposed. We detail some adaptations of RLS to be applied to a sensor matrix of several technologies in optimal conditions. The low complexity of the algorithm and its ability to process online samples from multi-sensor make the real-time identification of volatile compounds possible. The effectiveness of this approach to early detect and recognize explosive compounds in the air has been successfully demonstrated on an experimentally obtained dataset.
Keywords :
Recursive least squares algorithms
Volatile compounds
Algorithms
Explosives
Pattern recognition
Sensors
Signal processing
Volatile organic compounds
Explosives detection
Recursive least square (RLS)
Real-time identification
Optimal conditions
Multi-dimensional analysis
Explosive compounds
Electronic NOSE
https://hal-cea.archives-ouvertes.fr/cea-01830772
Contributor : Léna Le Roy <>
Submitted on : Thursday, July 5, 2018 - 1:12:53 PM
Last modification on : Monday, February 10, 2020 - 6:13:48 PM
Contributor : Léna Le Roy <>
Submitted on : Thursday, July 5, 2018 - 1:12:53 PM
Last modification on : Monday, February 10, 2020 - 6:13:48 PM