Results 91 to 100 of about 4,786,449 (207)

Improved Complexity Based on Time-Frequency Analysis in Bearing Quantitative Diagnosis

Advances in Mechanical Engineering, 2013
This paper compares and analyzes the quantitative diagnosis methods based on Lempel-Ziv complexity for bearing fault, using continuous wavelet transform (CWT), Empirical Mode Decomposition (EMD) method, and wavelet packet method for decomposition of ...
Jing Wang, Lingli Cui, Huaqing Wang, Peng Chen   +3 more
doaj   +1 more source

Hybrid Approach of an Empirical Mode Decomposition and Wavelet Support Vector Machine for Forecasting Singapore Tourist Arrivals to Malaysia

, 2018
Time series modelling and forecasting has fundamental importance to various practical domains. Thus, a lot of active research works is going on in this subject during several years. Many important models have been proposed in literature for improving the
A. Shabri, A. Rafidah, (UniKL MITEC)
core  

Encoder with the Empirical Mode Decomposition (EMD) to remove muscle artefacts from EEG signal

CoRR
This paper introduces a novel method for effectively removing artifacts from EEG signals by combining the Empirical Mode Decomposition (EMD) method with a machine learning architecture. The proposed method addresses the limitations of existing artifact removal techniques by enhancing the EMD method through interpolation of the upper and lower.
openaire   +3 more sources

Using Empirical Mode Decomposition to Estimate Amplitudes in Noisy Data. [PDF]

Empirical Mode Decomposition, an adaptive data-driven technique which can be used to extract non-stationary signals buried in noise, seldom admits theoretical calculation of the statistical properties of the extracted signals.
Claire Blackman
core  

EMD-Fuzzy: An Empirical Mode Decomposition Based Fuzzy Model for Cross-Stimulus Transfer Learning of SSVEP

CoRR
The Brain-Computer Interface (BCI) enables direct brain-to-device communication, with the Steady-State Visual Evoked Potential (SSVEP) paradigm favored for its stability and high accuracy across various fields. In SSVEP BCI systems, supervised learning models significantly enhance performance over unsupervised models, achieving higher accuracy in less ...
Beining Cao, Xiaowei Jiang, Daniel Leong, Charlie Li-Ting Tsai, Yu-Cheng Chang, Thomas Do, Chin-Teng Lin   +6 more
openaire   +3 more sources

Application of Variational Mode Decomposition in Wind Power Fault Diagnosis

Jixie chuandong, 2015
As to mode mixing problem of empirical mode decomposition（ EMD） and local mean decomposition（ LMD） when they are applied to field data decomposition,a new wind turbine fault diagnosis method based on variational mode decomposition（ VMD） is put forward ...
Wu Yingjie, Zhen Chenggang, Liu Changliang   +2 more
doaj  

Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition [PDF]

, 2012
[[abstract]]A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces.
張剛鳴;Chang, Kang-Ming
core  

A Hybrid Monthly Precipitation Prediction Model Based on TVF-EMD and SVR

Renmin Zhujiang
Accurate monthly precipitation forecasting is crucial for the scientific management and optimal allocation of water resources, with significant implications for reservoir operation and agricultural irrigation.
LAI Qifeng, ZENG Jiuhan
doaj   +2 more sources

Investigation of a Method of Speech Signal Analysis Using Empirical Mode Decomposition and Its Applications [PDF]

, 2010
In recent years, a number of noise reduction methods based on empirical mode decomposition (EMD) have been proposed in the field of speech signal processing.
Unoki, Masashi, Sawaguchi, Tomoki
core  

Processing and analysis of sounds signals by Huang transform (Empirical Mode Decomposition: EMD)

, 2012
This dissertation explores the potential of EMD as analyzing tool for audio and speech processing. This signal expansion into IMFs is adaptive and without any prior assumptions (stationarity and linearity) on the signal to be analyzed. Salient properties of EMD such as dyadic filter bank structure, quasi-symmetry of IMF and fully description of IMF by ...
openaire   +2 more sources