Title :
A New Feature Extraction Method Based on Feature Integration
Author :
Yi, Liu ; Caiming, Zhang
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
A new method for integration feature extraction of respiratory signals is presented in this paper. According to the characters of the non-stationary sounds, we subdivided the wavelet space in L2(R) based on the wavelet multiscale analysis theory. Advantages of this approach are made both in algorithm and recognition capability. The experimental results demonstrate that the proposed feature extraction method is more powerful and more efficient
Keywords :
feature extraction; lung; medical signal processing; wavelet transforms; integration feature extraction method; respiratory signal; wavelet multiscale analysis theory; Computer science; Discrete wavelet transforms; Feature extraction; Filter bank; Frequency; Lungs; Multiresolution analysis; Signal processing algorithms; Space technology; Wavelet analysis;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.388
