Observation of spheroidal normal mode multiplets below 1 mHz using ensemble empirical mode decomposition
نویسندگان
چکیده
منابع مشابه
Denoising in Biomedical signals using Ensemble Empirical Mode Decomposition
Abstract: In this paper a novel Ensemble Empirical Mode decomposition (EEMD) and adaptive filtering is proposed to filter out Gaussian noise and contact noise contained in raw biomedical signals. Real Biomedical signals from the MIT-BIH database are used to validate the performance of the proposed method. It has been observed that original signals can be significantly enhanced by using the prop...
متن کاملIn-car Speech Enhancement Using Ensemble Empirical Mode Decomposition
The performance of the human-machine dialogue at in-car environment is considerably deteriorated by background noises and other disturbances. In this paper, the authors present an in-car speech enhancement (ICSE) method to improve quality of speech signals suffering the in-car noises. The method is based on a novel signal processing technology called the ensemble empirical mode decomposition (E...
متن کاملA Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کاملA Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کاملBidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images
Positron emission tomography (PET) provides a functional imaging modality to detect signs of dementias in human brains. Two-dimensional empirical mode decomposition (2D-EMD) provides means to analyze such images. It extracts characteristic textures from these images which may be fed into powerful classifiers trained to group these textures into several classes depending on the problem at hand. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 2013
ISSN: 1365-246X,0956-540X
DOI: 10.1093/gji/ggt468