Abstract:
A chemometric method based on an hypothesis test approach built upon RLS (Recursive Least Square) algorithm is presented. This method offers an alternative for online rec...Show MoreMetadata
Abstract:
A chemometric method based on an hypothesis test approach built upon RLS (Recursive Least Square) algorithm is presented. This method offers an alternative for online recognition: each analyzed sample leads to the convergence of the system to a state characteristic of the presence of a chemical compound. We present how hypothesis tests are used to exploit this state. In particular we detail some adaptations of RLS used in order to apply our method to a sensor matrix of several technologies in optimal conditions. We show the efficiency of the approach on a real dataset reinforced by statistic results based on simulations.
Published in: 2011 19th European Signal Processing Conference
Date of Conference: 29 August 2011 - 02 September 2011
Date Added to IEEE Xplore: 02 April 2015
Print ISSN: 2076-1465
Conference Location: Barcelona, Spain