DocumentCode
2468962
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
fYear
1998
fDate
14-16 Sep 1998
Firstpage
176
Lastpage
179
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location
Portland, OR
Print_ISBN
0-7803-5010-3
Type
conf
DOI
10.1109/SSAP.1998.739363
Filename
739363
Link To Document