DocumentCode
701391
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
fYear
1996
fDate
10-13 Sept. 1996
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location
Trieste, Italy
Print_ISBN
978-888-6179-83-6
Type
conf
Filename
7083117
Link To Document