Title :
Multistage classification of signals with the use of multiscale wavelet representation
Author_Institution :
Inst. of Comput. Eng., Control & Robot., Wroclaw Univ. of Technol., Wroclaw, Poland
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;
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
DOI :
10.1109/MMAR.2010.5587246
