Emotion classification from speech signal based on empirical mode decomposition and non-linear features: Speech emotion recognition
PT Krishnan, AN Joseph Raj, V Rajangam - Complex & Intelligent Systems, 2021 - Springer
… Sample entropy is a modified version of approximate entropy where the limitations such as
self-… spectral density, S(f), of the speech signal is obtained. The spectral entropy is calculated …
self-… spectral density, S(f), of the speech signal is obtained. The spectral entropy is calculated …
Respiratory sound denoising using empirical mode decomposition, hurst analysis and spectral subtraction
NS Haider - Biomedical Signal Processing and Control, 2021 - Elsevier
… [20] investigated the lung sound denoising using modified local projection algorithm. This …
It helps in identifying the greatest denoising performance achieved using this method. From …
It helps in identifying the greatest denoising performance achieved using this method. From …
Automated classification of lung sound signals based on empirical mode decomposition
SI Khan, RB Pachori - Expert Systems with Applications, 2021 - Elsevier
… , the empirical mode decomposition (EMD) is applied to lung sound signals to obtain intrinsic
mode … Another modification to the empirical mode decomposition (EMD) method known as …
mode … Another modification to the empirical mode decomposition (EMD) method known as …
Short-term wind speed prediction using time varying filter-based empirical mode decomposition and group method of data handling-based hybrid model
Y Jiang, S Liu, N Zhao, J Xin, B Wu - Energy Conversion and Management, 2020 - Elsevier
… results proved this modification was a … the best feasible model could be achieved. Therefore,
it occupies high nonlinear addressing ability and even could provide the specific expression…
it occupies high nonlinear addressing ability and even could provide the specific expression…
Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
MD Liu, L Ding, YL Bai - Energy Conversion and Management, 2021 - Elsevier
… of the sub-sequences after decomposition is calculated. … sub series are combined to obtain
the final prediction results. … with LSTM; (2) after decomposition, LSTM is suitable for predicting …
the final prediction results. … with LSTM; (2) after decomposition, LSTM is suitable for predicting …
Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise
… The EEG signals of set D, on the other hand, have been obtained by … functions, we perform
CEEMDAN mode modeling using … is the modified Bessel function of the second kind of order …
CEEMDAN mode modeling using … is the modified Bessel function of the second kind of order …
Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing
J Zheng, H Pan - ISA transactions, 2020 - Elsevier
… , empirical mode decomposition (… the mode mixing happen to the first and second IMFs
obtained by EMD locally, ie some data with same or nearly frequency are decomposed into more …
obtained by EMD locally, ie some data with same or nearly frequency are decomposed into more …
Approach for short-term traffic flow prediction based on empirical mode decomposition and combination model fusion
Z Tian - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
… In this paper, improved FOA is used to obtain the optimal weight coefficient and make the …
After EMD processing, the traffic flow time series is changed from long correlation sequence to …
After EMD processing, the traffic flow time series is changed from long correlation sequence to …
An improved framework for Parkinson's disease prediction using Variational Mode Decomposition-Hilbert spectrum of speech signal
… The authors in [38] have proposed modified Frenchay dysarthria level assessment (m-FDA) …
based on empirical mode decomposition The Energy direction features are obtained from …
based on empirical mode decomposition The Energy direction features are obtained from …
Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis
… decomposition results by the EWT, FDM, variational mode decomposition and empirical mode
decomposition. … fewer false components are obtained in decomposition results than those …
decomposition. … fewer false components are obtained in decomposition results than those …