Title :
Application of Wavelet Packet Transform Layered Technique and Independent Sub-band Functions
Author :
Xiefeng, Cheng ; Xinhua, Chen ; Zhong, Zhang ; Jianbing, Din
Author_Institution :
Sch. of electron Sci. & Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In this paper, we discussed a new method of blind source separation of single mixed signal based on wavelet packet transform (WPT) layered technique and independent sub-band functions. Using WPT as a pre-processor, signal can be stratified into a number of narrow-band signals with equal length. After dealing with these narrow-band signals by ICA, we can get their independent sub-band functions, and a one-dimensional signal-aliasing can be expanded to a multi-dimensional signal. Then we can achieve the blind signal separation of single-aliasing. Through a system made by ourselves to detect the heart voice, we can study the changes of heart voice signal and provide services for the clinical diagnosis.
Keywords :
bioacoustics; blind source separation; cardiology; independent component analysis; medical signal processing; ICA; blind source separation; clinical diagnosis; heart voice signal; independent subband functions; signal aliasing; single mixed signal; wavelet packet transform layered technique; Software engineering; Wavelet packets; Wavelet transforms; WPT Layered Technique; heart voice signal; independent sub-band functions;
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
DOI :
10.1109/WCSE.2009.159