DocumentCode
2344084
Title
Multistage classification of signals with the use of multiscale wavelet representation
Author
Libal, Urszula
Author_Institution
Inst. of Comput. Eng., Control & Robot., Wroclaw Univ. of Technol., Wroclaw, Poland
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
154
Lastpage
159
Abstract
The aim of signal decomposition in wavelet bases is to represent a signal as a sequence of wavelet coefficients sets. There is proposed a multistage classification rule using on every stage only one set of the signal coefficients. The hierarchical construction of wavelet multiresolution analysis was an inspiration for the multistage classification rule. The algorithm makes an optimal decision for every set of coefficients and its main advantage is a smaller dimension of classification problem on every stage.
Keywords
signal classification; wavelet transforms; multiscale wavelet representation; multistage classification rule; signal coefficients; signal decomposition; wavelet multiresolution analysis; Classification algorithms; Databases; Diseases; Heart; Manganese; Probability density function; Signal representations; multiscale representation; multistage classification; wavelet decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Methods and Models in Automation and Robotics (MMAR), 2010 15th International Conference on
Conference_Location
Miedzyzdroje
Print_ISBN
978-1-4244-7828-6
Type
conf
DOI
10.1109/MMAR.2010.5587246
Filename
5587246
Link To Document