Motivated by a practical problem, in this work we investigate the problem of simultaneous estimation of state and parameters of an Hidden Markov Model with a particular structure. The motivating application is the problem of automatic counting of bubbles or droplets flowing into a microfluidic channel, where the noisy output of a photodiode has to be processed in order to detect the transit of bubbles. The goal is achieved through the recursive computation of a pseudo-max-likelihood estimate.
Carravetta, F., Manes, C., Palumbo, P. (2014). Filtering and parameter estimation for a class of Hidden Markov Models with application to bubble-counting in microfluidics. In Proceedings of 19th IFAC World Congress (pp.9540-9544). ;Schlossplatz 12 : IFAC Secretariat [10.3182/20140824-6-za-1003.02669].
Filtering and parameter estimation for a class of Hidden Markov Models with application to bubble-counting in microfluidics
Palumbo P
2014
Abstract
Motivated by a practical problem, in this work we investigate the problem of simultaneous estimation of state and parameters of an Hidden Markov Model with a particular structure. The motivating application is the problem of automatic counting of bubbles or droplets flowing into a microfluidic channel, where the noisy output of a photodiode has to be processed in order to detect the transit of bubbles. The goal is achieved through the recursive computation of a pseudo-max-likelihood estimate.File | Dimensione | Formato | |
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