Title :
A Removal of Power Line Interference in Signal Based on Improved Nonnegative Matrix Factorization
Author :
Xu, Gang ; Wu, Junyi
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
fDate :
Aug. 29 2008-Sept. 2 2008
Abstract :
A new method without complex parameter estimate and independent reference source signal was proposed to remove power line interference. The theory of nonnegative matrix factorization (NMF) and the evaluating criteria of similar coefficients and signal to interference ratio (SIR) were used to remove power line interference. Meanwhile, by employing the principle of blind source separation (BSS) and the improved algorithm of multilayer NMF into synthesized and real-life data, our method produces satisfying and acceptable performance which is hard to be achieved by conventional filtering methods.
Keywords :
blind source separation; interference (signal); interference suppression; matrix decomposition; blind source separation; nonnegative matrix factorization; power line interference removal; signal to interference ratio; Adaptive filters; Frequency; Independent component analysis; Interference; Nonhomogeneous media; Parameter estimation; Power harmonic filters; Principal component analysis; Signal synthesis; Source separation;
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
DOI :
10.1109/ICCSIT.2008.47