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
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;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8
