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https://hdl.handle.net/11499/8547
Title: | Noise cancellation on low-frequency signals using empirical mode decomposition | Authors: | Elbi, Mehmet Doğan Kızılkaya, Aydın |
Keywords: | Empirical Mode Decomposition Estimation performance Intrinsic modes Least squares support vector machines Low frequency Low-frequency signals Noise cancellation Savitzky-Golay filter White Gaussian Noise Frequency estimation Signal processing Support vector machines Gaussian noise (electronic) |
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. © 2012 IEEE. | URI: | https://hdl.handle.net/11499/8547 https://doi.org/10.1109/SIU.2012.6204684 |
ISBN: | 9781467300568 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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