Title :
Wavelet-based feature extraction methods for classification applications
Author :
Duzenli, Ozhan ; Fargues, Monique P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
This work discusses feature extraction and dimension-reduction issues in the context of classification applications. A new type of projection pursuit algorithm is presented. This scheme is designed to reduce the number of class features obtained from the wavelet packet decomposition of the signals to be classified. Results show the simple scheme can be used to classify various types of signals in a noisy environment
Keywords :
feature extraction; signal classification; wavelet transforms; dimension reduction; feature extraction; noisy environment; projection pursuit algorithm; signal classification; wavelet packet decomposition; Data mining; Feature extraction; Frequency synchronization; Pursuit algorithms; Robustness; Signal design; Signal mapping; Time frequency analysis; Wavelet packets; Working environment noise;
Conference_Titel :
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-5010-3
DOI :
10.1109/SSAP.1998.739363
