DocumentCode
2042871
Title
Adaptive noise repression based on orthogonal empirical mode decomposition and correlation detection
Author
Chou, Fu-I ; Yu, Yu-Hsiang ; Lai, Tzu-Ying ; Sun, Tsung-Ying
Author_Institution
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
fYear
2011
fDate
13-18 Sept. 2011
Firstpage
221
Lastpage
224
Abstract
This paper uses orthogonal empirical mode decomposition (OEMD) to decompose the mixed signal into a set of intrinsic mode functions (IMF). Different from traditional noise removing method, OEMD can both suitable for non-linear and non-stationary hypothesis with good adaptability. After processing of OEMD, IMFs will be analyzed for the correlation between each other. Finally, recovers the source signal from intermixed signal with noise.
Keywords
adaptive signal processing; correlation methods; signal denoising; adaptive noise repression; correlation detection; intrinsic mode functions; noise removing method; nonlinear hypothesis; nonstationary hypothesis; orthogonal empirical mode decomposition; Correlation; Doppler effect; Interference; Noise measurement; Noise reduction; Signal to noise ratio; correlation measurement; empirical mode decomposition; intrinsic mode functions; orthogonal empirical mode decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location
Tokyo
ISSN
pending
Print_ISBN
978-1-4577-0714-8
Type
conf
Filename
6060606
Link To Document