DocumentCode :
256388
Title :
EMD thresholding and denoising inspired by wavelet technique
Author :
Elgamel, S.A.
Author_Institution :
Dept. of Electron. & Electr. Eng., Mil. Tech. Coll., Cairo, Egypt
fYear :
2014
fDate :
22-23 Dec. 2014
Firstpage :
115
Lastpage :
118
Abstract :
Empirical mode decomposition (EMD) is used as denoising technique to enhance the signal to noise ratio (SNR) for noisy signals. A new EMD denoising algorithm named EMD iterative altering thresholding and denoising (EMD-IATD) based on the traditional EMD thresholding and denoising (EMD-TD) and inspirited Wavelet denoising technique is developed in this paper. The improved SNR of the new EMD-IATD over the traditional EMD-TD algorithm is assessed using range of simulated and real environments.
Keywords :
iterative methods; signal denoising; EMD-IATD; SNR; empirical mode decomposition; iterative altering thresholding and denoising; noisy signals; signal to noise ratio; wavelet technique; Abstracts; Noise; Empirical mode decomposition; noise cancellation; signal denoising;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering & Systems (ICCES), 2014 9th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4799-6593-9
Type :
conf
DOI :
10.1109/ICCES.2014.7030940
Filename :
7030940
Link To Document :
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