Title :
A blind extraction algorithm of periodic and statistically independent signals
Author :
Li, Yunxia ; Fan, Changyuan
Author_Institution :
Sch. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The extraction of periodic and statistically independent signals is discussed. This problem can be modelled from the perspective of blind source extraction. An algorithm is proposed to extract such kind of signal from mixture signals. Since the desired signal is independent to other components, and at the same time it is periodic or quasi-periodic, its periodicity characteristic and independent property can be used to realize extraction. Simulation results verify the good performance of the proposed approach.
Keywords :
blind source separation; independent component analysis; blind extraction algorithm; blind source extraction; independent component analysis; mixture signal; periodic signal; statistically independent signals; Biomedical signal processing; Blind source separation; Data mining; Independent component analysis; Instruments; Noise level; Signal design; Signal processing algorithms; Source separation; Statistics; blind signal separation; blind source extraction; independent component analysis;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274019
