@inproceedings{mayoue:cea-01830772, TITLE = {{Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors}}, AUTHOR = {Mayoue, A. and Martin, A. and Lebrun, G. and Larue, A.}, URL = {https://cea.hal.science/cea-01830772}, NOTE = {Conference of 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference Date: 26 May 2013 Through 31 May 2013; Conference Code:101421}, BOOKTITLE = {{2013 IEEE International Conference on Acoustics, Speech and Signal Processing}}, ADDRESS = {Vancouver, BC, Canada}, PAGES = {8761-8765}, YEAR = {2013}, MONTH = May, DOI = {10.1109/ICASSP.2013.6639377}, KEYWORDS = {Electronic NOSE ; Explosive compounds ; Multi-dimensional analysis ; Optimal conditions ; Real-time identification ; Recursive least square (RLS) ; Recursive least squares algorithms ; Volatile compounds ; Algorithms ; Explosives ; Pattern recognition ; Sensors ; Signal processing ; Volatile organic compounds ; Explosives detection}, HAL_ID = {cea-01830772}, HAL_VERSION = {v1}, }