Title :
Discrete HMMs for classification of mixtures of signals
Author :
Couvreur, Christophe. ; Fontaine, Vincent ; Leich, Henri
Author_Institution :
TCTS, Faculté Polytechnique de Mons, Boulevard Dolez 31, B-7000 Mons, Belgium
Abstract :
The concept of mixtures of discrete HMMs (MDHMM) is introduced. The application of MDHMMs to the classification of mixtures of signals is described. The optimal decision rule is presented. Alternative algorithms with reduced computational load are proposed: a simplified decision statistic is defined and sub-optimal search methods are discussed. The performance of the various algorithms are analyzed on Monte-Carlo simulations.
Keywords :
Error analysis; Hidden Markov models; Indexes; Nickel; Probabilistic logic; Probability; Silicon;
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6
