Results 1 to 10 of about 5,340 (166)
An Adaptive ECG Noise Removal Process Based on Empirical Mode Decomposition (EMD). [PDF]
Contrast Media Mol Imaging, 2022 The electrocardiogram (ECG) is a generally used instrument for examining cardiac disorders. For proper interpretation of cardiac illnesses, a noise‐free ECG is often preferred. ECG signals, on the other hand, are suffering from numerous noises throughout gathering and programme.
Hussein AF +3 more
europepmc +3 more sources
Pairs Trading Based on Empirical Mode Decomposition (EMD) [PDF]
Iranian Journal of Finance, 2023 As a trading strategy, pairs trading is performed based on the arbitrage opportunities extracted from statistical models. It is an outcome of the distance between an asset pair and the equilibrium state.
Bahareh Zarintaj +2 more
doaj +2 more sources
EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python [PDF]
Journal of Open Source Software, 2021 The Empirical Mode Decomposition (EMD) package contains Python (>=3.5) functions for analysis of non-linear and non-stationary oscillatory time series. EMD implements a family of sifting algorithms, instantaneous frequency transformations, power spectrum construction and single-cycle feature analysis.
Andrew J. Quinn 0003 +4 more
openaire +3 more sources
Remote Sensing, 2021 It has become increasingly difficult in recent years to predict precipitation scientifically and accurately due to the dual effects of human activities and climatic conditions.
Chao Song, Xiaohong Chen
doaj +1 more source
EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum [PDF]
The R Journal, 2009 The concept of empirical mode decomposition (EMD) and the Hilbert spectrum (HS) has been developed rapidly in many disciplines of science and engineering since Huang et al. (1998) invented EMD. The key feature of EMD is to decompose a signal into so-called intrinsic mode function (IMF).
Kim, Donghoh, Oh, Hee-Seok
openaire +1 more source
Machines, 2021 Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), complementary ensemble EMD (CEEMD), complete ensemble EMD with adaptive noise (CEEMDAN), and improved complete ensemble EMD with adaptive noise (ICEEMDAN), are ...
Yanqing Zhao +3 more
doaj +1 more source
Empirical mode decomposition with shape-preserving spline interpolation
Results in Applied Mathematics, 2020 Empirical mode decomposition (EMD) is a popular, novel, user-friendly algorithm to decompose a given signal into its constituting components, utilizing spline interpolation.
Maria D. van der Walt
doaj +1 more source
Enhancing Performance of Single-Channel SSVEP-Based Visual Acuity Assessment via Mode Decomposition
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 This study aimed to improve the performance of single-channel steady-state visual evoked potential (SSVEP)-based visual acuity assessment by mode decomposition methods.
Xiaowei Zheng +3 more
doaj +1 more source
IEEE Access, 2023 This tutorial explores the class of non-parametric time series basis decomposition methods particularly suited for nonstationary time series known as Empirical Mode Decomposition (EMD). In outlining a statistical perspective of the EMD method, it will be
Cole van Jaarsveldt +3 more
doaj +1 more source
Parameter-Adaptive TVF-EMD Feature Extraction Method Based on Improved GOA
Sensors, 2022 In order to separate the sub-signals and extract the feature frequency in the signal accurately, we proposed a parameter-adaptive time-varying filtering empirical mode decomposition (TVF-EMD) feature extraction method based on the improved grasshopper ...
Chengjiang Zhou +5 more
doaj +1 more source