Noise cancellation on low-frequency signals using Empirical Mode Decomposition | IEEE Conference Publication | IEEE Xplore

Noise cancellation on low-frequency signals using Empirical Mode Decomposition


Abstract:

In this study, the noise cancellation problem on noise corrupted low-frequency signals by using the Empirical Mode Decomposition (EMD) method is considered. For this aim,...Show More

Abstract:

In this study, the noise cancellation problem on noise corrupted low-frequency signals by using the Empirical Mode Decomposition (EMD) method is considered. For this aim, the Intrinsic Mode (IM) functions of the low-frequency signal corrupted by white Gaussian noise are obtained by applying EMD on this signal. Savitzky-Golay filter and Least Squares Support Vector Machine (LS-SVM) regression are separately applied to the signal reconstructed using the low-frequency ones of the IM functions, and the estimation performance of the original noiseless signal is examined. It is observed from the simulations that a satisfactory result is achieved via LS-SVM regression.
Date of Conference: 18-20 April 2012
Date Added to IEEE Xplore: 28 May 2012
ISBN Information:
Print ISSN: 2165-0608
Conference Location: Mugla, Turkey

References

References is not available for this document.