Random Noise Reduction in Seismic Data by Using Bidimensional Empirical Mode Decomposition and Shearlet Transform
نویسندگان
چکیده
منابع مشابه
Image analysis by bidimensional empirical mode decomposition
Recent developments in analysis methods on the non-linear and non-stationary data have received large attention by the image analysts. In 1998, Huang introduced the empirical mode decomposition (EMD) in signal processing. The EMD approach, fully unsupervised, proved reliable monodimensional (seismic and biomedical) signals. The main contribution of our approach is to apply the EMD to texture ex...
متن کاملNormalization of fringe patterns using the bidimensional empirical mode decomposition and the Hilbert transform.
We evaluate a data-driven technique to perform bias suppression and modulation normalization of fringe patterns. The proposed technique uses a bidimensional empirical mode decomposition method to decompose a fringe pattern in a set of intrinsic frequency modes and the partial Hilbert transform to characterize the local amplitude of the modes in order to perform the normalization. The performanc...
متن کاملArrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with different power--50 Hz, EMG, and base line wander--were embedded into simulated and real ECG signals. Traditional IIR filter, Wiener filter, empirical mode decomposition (EMD) and EEMD were used to compare filtering ...
متن کاملPhysiological Noise Extraction in fMRI Data Using Empirical Mode Decomposition
Introduction Physiological noise caused by ecgand/or breathing related pulsatility is known to have substantial influence on the BOLD signal [1,2]. Such effects may introduce temporal correlations that are unrelated to neuronal processes in a resting-state network analysis [3]. Various noise removal techniques have been proposed, including image-based estimation schemes [4,5] and methods that u...
متن کاملBidimensional Empirical Mode Decomposition Using Various Interpolation Techniques
SHARIF M. A. BHUIYAN∗, NII O. ATTOH-OKINE†, KENNETH E. BARNER‡, ALBERT Y. AYENU-PRAH§ and REZA R. ADHAMI¶ ∗,¶Department of Electrical and Computer Engineering University of Alabama in Huntsville Huntsville, AL 35899, USA †,§Department of Civil and Environmental Engineering University of Delaware Newark, DE 19716, USA ‡Department of Electrical and Computer Engineering University of Delaware Newa...
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: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2920021