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
Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification [PDF]
, 2015 The target echo signals obtained by Synthetic Aperture Radar (SAR) and Ground Moving Target Indicator (GMTI platforms are mainly composed of two parts, the micro-Doppler signal and the target body part signal.
Eoin Clancy (794020) +8 more
core +5 more sources
International Journal of Distributed Sensor Networks, 2018 The bidimensional empirical mode decomposition algorithm is more suitable to handle image fusion than the traditional multi-scale decomposition methods in the image fusion area.
Pei Wang, Hui Fu, Ke Zhang
doaj +1 more source
Partial discharge feature extraction based on ensemble empirical mode decomposition and sample entropy [PDF]
, 2013 Partial Discharge (PD) pattern recognition plays an important part in electrical equipment fault diagnosis and maintenance. Feature extraction could greatly affect recognition results.
Haikun Shang +8 more
core +3 more sources
Turbulence Time Series Data Hole Filling using Karhunen-Loeve and ARIMA methods [PDF]
, 2007 Measurements of optical turbulence time series data using unattended instruments over long time intervals inevitably lead to data drop-outs or degraded signals.
Beran J +15 more
core +2 more sources
An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
Systems Science & Control Engineering, 2019 This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang +3 more
doaj +1 more source
Malware detection in the cloud under Ensemble Empirical Mode Decomposition [PDF]
2015 International Conference on Computing, Networking and Communications (ICNC), 2015 Cloud networks underpin most of todays’ socioeconomical\ud Information Communication Technology (ICT) environments\ud due to their intrinsic capabilities such as elasticity and\ud service transparency. Undoubtedly, this increased dependence of numerous always-on services with the cloud is also subject to a number of security threats.
Marnerides, Angelos +3 more
openaire +1 more source
Denoising the ECG Signal Using Ensemble Empirical Mode Decomposition
Engineering, Technology & Applied Science Research, 2021 In this paper, a novel electrocardiogram (ECG) denoising method based on the Ensemble Empirical Mode Decomposition (EEMD) is proposed by introducing a modified customized thresholding function. The basic principle of this method is to decompose the noisy ECG signal into a series of Intrinsic Mode Functions (IMFs) using the EEMD algorithm.
Wahiba Mohguen, S. Bouguezel
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Biometric systems based on ECG using ensemble empirical mode decomposition and Variational Mode decomposition [PDF]
Journal of Applied Engineering Science, 2020 Electrocardiogram (ECG) based biometric is challenging to be developed with the aim of high-security access. This biometric system is more difficult to falsify, compared to the conventional biometric systems. From previous proposed studies, there is still a gap to improve the accuracy of the system.
Sugondo Hadiyoso +3 more
openaire +1 more source
Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis [PDF]
, 2018 We consider the frequency domain form of proper orthogonal decomposition (POD) called spectral proper orthogonal decomposition (SPOD). Spectral POD is derived from a space-time POD problem for statistically stationary flows and leads to modes that each ...
Colonius, Tim +2 more
core +3 more sources