Results 271 to 280 of about 197,948 (294)

Knife Diagnostics with Empirical Mode Decomposition

2015
This paper deals with the condition monitoring of knives via the Empirical Mode Decomposition (EMD). The cutting process is basically transient, thus Fourier Analysis and similar signal processing tools aren’t optimal because they treat signals as they were periodic. EMD is a signal analysis technique which is particularly suited for non-stationary and/
Cotogno M., Cocconcelli M., Rubini R.
openaire   +1 more source

Multivariate empirical mode decomposition

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2009
Despite empirical mode decomposition (EMD) becoming a de facto standard for time-frequency analysis of nonlinear and non-stationary signals, its multivariate extensions are only emerging; yet, they are a prerequisite for direct multichannel data analysis.
Rehman, N., Mandic, D. P.
openaire   +1 more source

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

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, Wanming Ying, Jinyu Tong
exaly  

Multivariate empirical mode decomposition–based structural damage localization using limited sensors

JVC/Journal of Vibration and Control, 2022
Sandeep Sony, Ayan Sadhu
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
Nordén E Huang, Steven R Long, Quanan Zheng   +2 more
exaly  

Multivariate empirical mode decomposition

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

THE MULTI-DIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION METHOD

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