Title :
A New Technique of the Single TEOAES Mix Signal Separation Based on Independent Sub-band Functions
Author :
Cheng, Xiefeng ; Chang, Yan ; Li, Wanlong ; Cai, Qun ; Wu, Gongdong
Author_Institution :
Jinan Univ., Jinan
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.
Keywords :
acoustic signal processing; independent component analysis; source separation; time-domain analysis; TEOAES mix signal separation; extended single-channel mixture signal; independent component characteristic; independent subband functions; multi-dimensional vector; signal source; time domain subband functions; transient evoked otoacoustic emissions; weighted linear superposition; Acoustic sensors; Auditory system; Blind source separation; Character generation; Ear; Independent component analysis; Irrigation; Probes; Signal generators; Source separation;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.104