Results 51 to 60 of about 49,831 (187)
Journal of King Saud University: Computer and Information Sciences, 2022 High frequency Bitcoin price series are often non-linear and non-stationary and hence forecasting the price of Bitcoin directly or by transformation using statistical models is subject to large errors.
Samuel Asante Gyamerah
doaj +1 more source
IEEE Access, 2020 A remaining useful life (RUL) prediction method for an external gear pump is proposed by Bayesian regularized radial basis function neural network (Trainbr-RBFNN).
Rui Guo +4 more
doaj +1 more source
Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition [PDF]
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 In this paper, we propose and evaluate two parallel implementations of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) for multi-core (CPU) and many-core (GPU) architectures. Relative to a sequential C implementation, our double precision GPU implementation, using the CUDA programming model, achieves up to 48.6x speedup on NVIDIA Tesla ...
Li-Wen Chang +5 more
openaire +1 more source
Fault diagnosis of roller bearings using ensemble empirical mode decomposition (EEMD) and support vector machine (SVM) [PDF]
, 2014 Rolling bearings are widely used in rotating machinery and their fault is one of the most common causes of industrial machinery failure. Damage identification of roller bearings has been deeply developed to detect faults using vibration-based signal ...
Fasana, Alessandro +3 more
core
Denoising in Biomedical signals using Ensemble Empirical Mode Decomposition
IOSR Journal of Electronics and Communication Engineering, 2014 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.
Megha Agarwal, Richa Priyadarshani
openaire +1 more source
Screening of Obstructive Sleep Apnea with Empirical Mode Decomposition of Pulse Oximetry
, 2014 Detection of desaturations on the pulse oximetry signal is of great importance for the diagnosis of sleep apneas. Using the counting of desaturations, an index can be built to help in the diagnosis of severe cases of obstructive sleep apnea-hypopnea ...
Di Persia, Leandro E. +3 more
core +1 more source
Mathematics, 2019 Empirical mode decomposition (EMD)-based methods are powerful digital signal processing techniques because they do not need a priori information of the target signal due to their intrinsic adaptive behavior.
Martin Valtierra-Rodriguez +3 more
doaj +1 more source
An Optimization Based Empirical Mode Decomposition Scheme for Images [PDF]
, 2012 Bidimensional empirical mode decompositions (BEMD) have been developed to decompose any bivariate function or image additively into multiscale components, so-called intrinsic mode functions (IMFs), which are approximately orthogonal to each other with ...
Huang, Boqiang, Kunoth, Angela
core
Multifractal characteristics of external anal sphincter based on sEMG signals
, 2017 This work presents the application of Multifractal Detrended Fluctuation Analysis for the surface electromyography signals obtained from the patients suffering from rectal cancer.
Machura, Lukasz +2 more
core +1 more source
Non-contact incipient fault diagnosis method of fixed-axis gearbox based on CEEMDAN [PDF]
Royal Society Open Science, 2017 Gearbox plays most essential role in the modern machinery for transmitting the required torque along with motion and contributes to wide range of applications. Any failure in gearbox components affects the productivity and efficiency of the system.
Vanraj, S. S. Dhami, B. S. Pabla
doaj +1 more source