Seismic data random noise reduction using a method based on improved complementary ensemble EMD and adaptive interval threshold
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DOI: 10.1080/08123985.2020.1777849
Abstract: Random noise attenuation is an important step in seismic signal processing. This paper develops a seismic denoising method which combines the improved complementary ensemble empirical mode decomposition (ICEEMD) and adaptive interval threshold. The seismic data… read more here.
Keywords: interval threshold; random noise; complementary ensemble; adaptive interval ... See more keywords
Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
Sign Up to like & getrecommendations! Published in 2020 at "Entropy"
DOI: 10.3390/e22020140
Abstract: Epilepsy is a common nervous system disease that is characterized by recurrent seizures. An electroencephalogram (EEG) records neural activity, and it is commonly used for the diagnosis of epilepsy. To achieve accurate detection of epileptic… read more here.
Keywords: mode; empirical mode; complementary ensemble; ensemble empirical ... See more keywords