DocumentCode
2511923
Title
Simultaneous Segmentation and Modelling of Signals Based on an Equipartition Principle
Author
Panagiotakis, Costas ; Tziritas, Georgios
Author_Institution
Comput. Sci. Dept., Univ. of Crete, Heraklion, Greece
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
85
Lastpage
88
Abstract
We propose a general framework for simultaneous segmentation and modelling of signals based on an Equipartition Principle (EP). According to EP, the signal is divided into segments with equal reconstruction errors by selecting the most suitable model to describe each segment. In addition, taking into account change detection on signal model an efficient signal reconstruction is also obtained. The model selection concerns both the kind and the order of the model. The proposed methodology is very flexible on different error criteria and signal features.
Keywords
signal processing; change detection; equipartition principle; reconstruction errors; signal modelling; signal segmentation; Approximation error; Computational modeling; Hidden Markov models; Humans; Polynomials; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.29
Filename
5597634
Link To Document