Results 1 to 10 of about 132,158 (162)

Detection of relevant information in intrinsic mode functions

Visión Electrónica, 2020
The empirical mode decomposition (EMD) decomposes a local and adaptive time series into a finite set of intrinsic mode functions (IMF), AM-FM signals that allow to represent a non-linear and non-stationary model with the advantage of not losing the ...
Roberto Sebastián Hernández Santander, Esperanza Camargo Casallas   +1 more
doaj   +3 more sources

Analysis of Intrinsic Mode Functions: A PDE Approach [PDF]

IEEE Signal Processing Letters, 2010
The empirical mode decomposition is a powerful tool for signal processing. Because of its original algorithmic, recent works have contributed to its theoretical framework. Following these works, some mathematical contributions on its comprehension and formalism are provided.
Abdel-Ouahab Boudraa
exaly   +4 more sources

Analysis of the Intrinsic Mode Functions [PDF]

Constructive Approximation, 2005
The Empirical Mode Decomposition is a process for signals which produces Intrinsic Mode Functions from which instantaneous frequencies may be extracted by simple application of the Hilbert transform. The beauty of this method to generate redundant representations is in its simplicity and its effectiveness.
Robert C Sharpley
exaly   +2 more sources

LAND COVER DYNAMIC CHANGE MODES ANALYSIS BASED ON EMPIRICAL MODE DECOMPOSITION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The dynamic change mode of land cover not only reflects the change characteristics of the land cover itself, but also reflects the influence exerted by external factors.
L. Tang, H. Yang, P. Tang, Z. Li, Y. Tang   +4 more
doaj   +1 more source

Intrinsic Multi-Scale Dynamic Behaviors of Complex Financial Systems. [PDF]

PLoS ONE, 2015
The empirical mode decomposition is applied to analyze the intrinsic multi-scale dynamic behaviors of complex financial systems. In this approach, the time series of the price returns of each stock is decomposed into a small number of intrinsic mode ...
Fang-Yan Ouyang, Bo Zheng, Xiong-Fei Jiang   +2 more
doaj   +1 more source

Qualitative assessment of intrinsic mode functions of empirical mode decomposition [PDF]

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
The 'empirical mode decomposition' (EMD) method has been recently proposed to deal with nonlinear and non- stationary data, which decomposes signals into 'well-behaved' intrinsic mode functions (IMFs). An assessment on the qualitative performance of the EMD method in terms of the degree of signal nature preservation of individual IMF is provided.
Mo Chen 0006, Danilo P. Mandic, Preben Kidmose, Michael Ungstrup   +3 more
openaire   +1 more source

Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization. [PDF]

PLoS ONE, 2017
Accurately predicting the trend of outpatient visits by mathematical modeling can help policy makers manage hospitals effectively, reasonably organize schedules for human resources and finances, and appropriately distribute hospital material resources ...
Daizheng Huang, Zhihui Wu
doaj   +1 more source

Side-scan Sonar Image De-noising Based on Bidimensional Empirical Mode Decomposition and Non-local Means [PDF]

E3S Web of Conferences, 2020
In order to suppress the multiplicative specular noise in side-scan sonar images, a denoising method combining bidimensional empirical mode decomposition and non-local means algorithm is proposed.
Zhao Kun, Ding Jisheng, Sun YanFei, Hu ZhiYuan   +3 more
doaj   +1 more source

Kurtosis Based Empirical Mode Decomposition for Rolling Bearing Fault Detection [PDF]

MATEC Web of Conferences, 2020
A bearing fault diagnosis approach based on spectral kurtosis and empirical mode decomposition (EMD) is proposed. EMD is a signal decomposition technique, which can adaptively separate a number of intrinsic mode functions (IMFs) from the vibration signal
Li Hui, Liu Xuhan
doaj   +1 more source

Feature Extraction of Ship-Radiated Noise Based on Permutation Entropy of the Intrinsic Mode Function with the Highest Energy

Entropy, 2016
In order to solve the problem of feature extraction of underwater acoustic signals in complex ocean environment, a new method for feature extraction from ship-radiated noise is presented based on empirical mode decomposition theory and permutation ...
Yu-Xing Li, Ya-An Li, Zhe Chen, Xiao Chen   +3 more
doaj   +1 more source