Title | ||
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A New Technique of the Single TEOAES Mix Signal Separation Based on Independent Sub-band Functions |
Abstract | ||
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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 |
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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 Cheng | 1 | 7 | 6.74 |
Yan Chang | 2 | 19 | 2.98 |
Wanlong Li | 3 | 0 | 1.01 |
Qun Cai | 4 | 0 | 1.01 |
Gongdong Wu | 5 | 0 | 0.34 |