Title
A New Technique of the Single TEOAES Mix Signal Separation Based on Independent Sub-band Functions
Abstract
The paper presents a new technique to eliminate the stimulus artifact when given only single mix signal by a sensor observed. One signal source can be generated by a set of weighted linear superposition of the time domain sub-band functions with independent component characteristic. By combining the independent sub-band function components into the single mixture signal, making the single mixture signal is transformed into a multi-dimensional vector from one-dimensional. Thus ICA can be applied to separate the extended single-channel mixture signal. It is researched too that principles of makeup of the independent sub-band function. The separation results of TEOAEs (Transient Evoked Otoacoustic Emissions) mix signal demonstrated the effectiveness and adaptability of the proposed method.
Year
DOI
Venue
2007
10.1109/ICNC.2007.104
ICNC
Keywords
Field
DocType
single mix signal,time domain sub-band function,independent sub-band function,new technique,extended single-channel mixture signal,independent sub-band functions,single teoaes mix signal,independent component characteristic,independent sub-band function component,transient evoked otoacoustic emissions,mix signal,signal source,single mixture signal,independent component analysis,time domain
Adaptability,Time domain,Mathematical optimization,Superposition principle,Computer science,Algorithm,Speech recognition,Independent component analysis,Source separation,Signal transfer function,Signal source
Conference
Volume
ISSN
ISBN
3
2157-9555
0-7695-2875-9
Citations 
PageRank 
References 
0
0.34
1
Authors
5
Name
Order
Citations
PageRank
Xiefeng Cheng176.74
Yan Chang2192.98
Wanlong Li301.01
Qun Cai401.01
Gongdong Wu500.34