Results 241 to 250 of about 23,305 (264)

Empirical Mode Decomposition Analysis for Visual Stylometry

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
In this paper, we show how the tools of empirical mode decomposition (EMD) analysis can be applied to the problem of “visual stylometry,” generally defined as the development of quantitative tools for the measurement and comparisons of individual style in the visual arts.
James Michael Hughes, Dong Mao, Daniel N. Rockmore, Yang Wang 0020, Qiang Wu 0003   +4 more
openaire   +3 more sources

Compression by image empirical mode decomposition

IEEE International Conference on Image Processing 2005, 2005
Empirical mode decomposition (EMD) in two dimensions provides a tool for image processing by its special ability to locally separate spatial frequencies. The tendency is that the intrinsic mode functions (IMFs) other than the first are low frequency images. Variable sampling of the EMD is used for image compression. This is done blockwise using the non-
openaire   +1 more source

ECG Denoising Based on the Empirical Mode Decomposition

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
The electrocardiogram (ECG) has been widely used for diagnosis purposes of heart diseases. Good quality ECG are utilized by the physicians for interpretation and identification of physiological and pathological phenomena. However, in real situations, ECG recordings are often corrupted by artifacts.
Binwei Weng, Manuel Blanco-Velasco, Kenneth E. Barner   +2 more
openaire   +2 more sources

The complex bidimensional empirical mode decomposition

Signal Processing, 2012
A new method for computing complex bidimensional empirical mode decomposition (BEMD) is presented in this paper. The proposed complex-BEMD uses four quadrant spectra to apply standard BEMD to four real-valued 2D signals. The so-generated intrinsic mode functions (IMFs) are 2D complex-valued, which facilitates the extension of the standard BEMD to the ...
openaire   +1 more source

Reference empirical mode decomposition

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014
Jiexin Gao, Sahar Javaher Haghighi, Dimitrios Hatzinakos   +2 more
openaire   +1 more source

Improved uniform phase empirical mode decomposition and its application in machinery fault diagnosis

Measurement: Journal of the International Measurement Confederation, 2021
Jinde Zheng, Jinyu Tong, Wanming Ying
exaly  

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998
Steven R Long, Norden E Huang
exaly  

THE MULTI-DIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION METHOD

Advances in Adaptive Data Analysis, 2009
Xianyao Chen, Zhaohua Wu, Norden E Huang   +2 more
exaly  

Multivariate empirical mode decomposition

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
D P Mandic
exaly  

On the computational complexity of the empirical mode decomposition algorithm

Physica A: Statistical Mechanics and Its Applications, 2014
Yunghung Wang, Chien-Hung Yeh, Kun Hu
exaly