Results 241 to 250 of about 215,660 (296)

Single-atomic-ion detection with plasmon-enhanced whispering-gallery-mode microlasers. [PDF]

Nat Photonics
Vartabi Kashanian S, Vollmer F.
europepmc   +1 more source

Absolute Distance Discrimination in the Intermediate Distance Mediated by Angular Declination/Elevation and Binocular Disparity Cues. [PDF]

Invest Ophthalmol Vis Sci
Chen Y, He ZJ, Ooi TL.
europepmc   +1 more source

ON INTRINSIC MODE FUNCTION

Advances in Adaptive Data Analysis, 2010
Empirical Mode Decomposition (EMD) has been widely used to analyze non-stationary and nonlinear signal by decomposing data into a series of intrinsic mode functions (IMFs) and a trend function through sifting processes. For lack of a firm mathematical foundation, the implementation of EMD is still empirical and ad hoc.
Zhaohua Wu, Norden E Huang
exaly   +3 more sources

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THE UNIQUENESS OF THE INSTANTANEOUS FREQUENCY BASED ON INTRINSIC MODE FUNCTION

Advances in Adaptive Data Analysis, 2013
It has been claimed that any expression of a(t) cos θ(t) with a(t) as the instantaneous amplitude and cos θ(t) as the carrier varying along with the phase θ(t) could not be uniquely defined. However, based on the fact that a(t) cos θ(t) with all its variational forms have the same numerical value at any given time, we propose the existence of a unique
Norden E Huang, Vincent B Young, Chung-Kang Peng   +2 more
exaly   +2 more sources

Decomposition of functions into pairs of intrinsic mode functions

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2008
The intrinsic mode functions (IMFs) arise as basic modes from the application of the empirical mode decomposition (EMD) to functions or signals. In this procedure, instantaneous frequencies are subsequently extracted from the IMFs by the simple application of the Hilbert transform, thereby providing a multiscale analysis of the signal's ...
Robert Sharpley
exaly   +3 more sources

Bearing Fault Detection Using Intrinsic Mode Functions Statistical Information

2018 15th International Multi-Conference on Systems, Signals & Devices (SSD), 2018
This paper investigates the bearing fault detection using vibration signals. For these mechanical type of fault, the energy in the signal is distributed in the frequency domain which is relatively wide. These particular frequencies linked to the fault occurrence is difficult to isolate and characterise.
Zahra Mezni, Claude Delpha, Demba Diallo, Ahmed Braham   +3 more
openaire   +3 more sources

An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics [PDF]

Applied Soft Computing Journal, 2011
To implement traditional order tracking in practice requires rotational speed information. However, it may be difficult in some cases to mount an appropriate monitoring device to obtain reliable speed information.
Kesheng Wang, P Stephan Heyns
exaly   +2 more sources

Fault Diagnosis Using Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Power-Based Intrinsic Mode Function Selection Algorithm

Electronics (Switzerland), 2018
In the fault diagnosis system using empirical mode decomposition (EMD), it is important to select the intrinsic mode functions (IMFs) which contain as much fault information as possible and to alleviate the problems of mode mixing and spurious modes.
Sang-Bock Cho
exaly   +2 more sources