Results 241 to 250 of about 447,860 (319)

Hilbert spectral analysis of EEG data reveals spectral dynamics associated with microstates

Journal of Neuroscience Methods, 2019
This study addresses an ongoing debate, i.e. whether microstates have a relation to specific oscillations or frequency bands. The previous literature on this has been inconclusive. Due to stochastic calculation of microstates it is important to address this issue because instead of providing further insights, it might lead us to ambiguous ...
Ehtasham Javed, Pierpaolo Croce, F. Zappasodi, C. Gratta   +3 more
semanticscholar   +5 more sources

Modal Damping Estimation: An Alternative for Hilbert Spectral Analysis

2019 North American Power Symposium (NAPS), 2019
This paper proposes a novel approach for modal damping estimation from system oscillatory responses. It is well-known that the signal frequency can be estimated accurately by using time-frequency distributions.
M. Hatami, M. Farrokhifard, V. Venkatasubramanian   +2 more
semanticscholar   +3 more sources

Hilbert spectral analysis of vowels using intrinsic mode functions

2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015
In recent work, we presented mathematical theory and algorithms for time-frequency analysis of non-stationary signals. In that work, we generalized the definition of the Hilbert spectrum by using a superposition of complex AM-FM components parameterized by the Instantaneous Amplitude (IA) and Instantaneous Frequency (IF).
Steven Sandoval, P. D. Leon, J. Liss
semanticscholar   +3 more sources

Nonlinear, non-stationary analysis of interarea oscillations via Hilbert spectral analysis

IEEE Transactions on Power Systems, 2006
Hilbert spectral analysis (HSA) is used to characterize the time evolution of non-stationary power system oscillations following large perturbations. Using an analytical procedure based on the Hilbert-Huang Technique (HHT), data from transient stability simulations are decomposed into a finite number of time-varying oscillating components that can be ...
A. R. Messina, Vijay Vittal
semanticscholar   +3 more sources

Time-frequency composition of mosquito flight tones obtained using Hilbert spectral analysis.

The Journal of the Acoustical Society of America, 2014
Techniques for estimating temporal variation in the frequency content of acoustic tones based on short-time fast Fourier transforms are fundamentally limited by an inherent time-frequency trade-off.
Andrew Aldersley, A. Champneys, M. Homer, D. Robert   +3 more
semanticscholar   +5 more sources

Multifractal description of wind power fluctuations using arbitrary order Hilbert spectral analysis

Physica A: Statistical Mechanics and its Applications, 2013
a b s t r a c t The objectives are to study and model the aggregate wind power fluctuations dynamics in the multifractal framework. We present here the analysis of aggregate power output sampled at 1 Hz during three years. We decompose the data into several Intrinsic Mode Functions (IMFs) using Empirical Mode Decomposition (EMD). We use a new approach,
R. Calif, F. Schmitt, Y. Huang
semanticscholar   +4 more sources

Spectral Analysis of Nonlinear Water Waves Based on the Hilbert-Huang Transformation

Journal of Offshore Mechanics and Arctic Engineering, 2001
The Hilbert-Huang transformation (HHT) is a new method for analyzing nonlinear and non-stationary data series. The central idea behind the HHT is the so-called empirical mode decomposition (EMD) that numerically decomposes a time-dependent signal into its own underlying characteristic modes.
Torsten Schlurmann
openalex   +3 more sources

SIMULATION OF EARTHQUAKE RECORDS BY MEANS OF EMPIRICAL MODE DECOMPOSITION AND HILBERT SPECTRAL ANALYSIS

Journal of Earthquake and Tsunami, 2014
One of the most important problems in the design of earthquake resistance structures at sites with no strong ground motion data is the generation and simulation of earthquake records.
A. Bagheri, A. Fatemi, GHOLAMREZA GHODRATI Amiri   +2 more
semanticscholar   +3 more sources

A New Spectral Representation of Earthquake Data: Hilbert Spectral Analysis of Station TCU129, Chi-Chi, Taiwan, 21 September 1999

, 2004
A new method of spectral analysis, using an approach we call the empirical mode decomposition (EMD) and the Hilbert spectrum analysis (HSA), is presented. The EMD method decomposes any data into a finite number of intrinsic mode function (IMF) components
N. E. Huang
openalex   +2 more sources

Use of Holo-Hilbert spectral analysis to reveal the amplitude modulation features of faulty rolling bearing signals

Journal of Vibration and Control, 2022
Time-frequency analysis (TFA) is a powerful tool for vibration signal analysis. However, it cannot comprehensively reflect the cross-scale coupling relationship between amplitude-modulated (AM) and frequency-modulated (FM) characteristics of the ...
Wanming Ying, Jinde Zheng, Haiyang Pan, Qingyun Liu, Jinyu Tong   +4 more
semanticscholar   +1 more source