Results 171 to 180 of about 98,906 (246)

A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing

Mechanical Systems and Signal Processing, 2005
Zhike Peng, P. Tse, F. Chu
semanticscholar   +3 more sources

Cyber Attack Detection Process in Sensor of DC Micro-Grids Under Electric Vehicle Based on Hilbert–Huang Transform and Deep Learning

IEEE Sensors Journal, 2021
In this article, a new procedure is proposed on the basis of Hilbert-Huang Transform and deep learning for cyber-attacks detection in direct current (DC) micro-grids (MGs) as well as detection of the attacks in distributed generation (DG) units and its ...
Hao Cui, Xiaorui Dong, H. Deng, M. Dehghani, Khalid Alsubhi, H. Aljahdali   +5 more
semanticscholar   +1 more source

2D Hilbert-Huang Transform

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
This paper presents a 2D transposition of the Hilbert-Huang Transform (HHT), an empirical data analysis method designed for studying instantaneous amplitudes and phases of non-stationary data. The principle is to adaptively decompose an image into oscillating parts called Intrinsic Mode Functions (IMFs) using an Empirical Mode Decomposition method (EMD)
Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin   +3 more
openaire   +1 more source

Hilbert Huang transform based speech recognition

2016 Second International Conference on Cognitive Computing and Information Processing (CCIP), 2016
In today's world, to make man-machine interaction more effective speech recognition plays an important role in speech processing. This paper presents the application of Hilbert-Huang transform (HHT), a mathematical tool applied for feature extraction phase of the speech signal processing.
null Vani H.Y, M.A. Anusuya
openaire   +1 more source

Modulation classification by Hilbert-Huang Transform

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
The problem of identifying the modulation type of the signals at the receiver, is very helpful intermediate step for spectrum sensing which the cognitive radio systems are commonly used today. In this study, Hilbert-Huang Transform is proposed for identifying the modulation type of digitally modulated signals in the noisy environments.
Yesim Hekim Tanc, A. Akan
openaire   +1 more source

The summary of Hilbert-Huang transform

SPIE Proceedings, 2013
The widely investigated signals are mainly nonstationary and nonlinear signals, thus it is difficult to get the precise information from the nonstationary and nonlinear signals. Here we introduce a new method to process the nonstationary and nonlinear signals. And this new algorithm makes a good performance on processing the nonstationary and nonlinear
Shi-De Song, Zhi-chao Yao, Xiao-Na Wang
openaire   +1 more source

Deep-Learning-Based Fault Classification Using Hilbert–Huang Transform and Convolutional Neural Network in Power Distribution Systems

IEEE Sensors Journal, 2019
Fault classification is important for the fault cause analysis and faster power supply restoration. A deep-learning-based fault classification method in small current grounding power distribution systems is presented in this paper.
Mou-fa Guo, Nien‐Che Yang, Wei Chen
semanticscholar   +1 more source

An improved Hilbert–Huang transform method for modal parameter identification of a high arch dam

Applied Mathematical Modelling, 2021
The vibration signal of a high arch dam flow discharge structure under the excitation of water flow is difficult to extract because the vibration signals are weak, low-frequency, and easily submerged by noise.
Bowen Wei, Bin Xie, Huokun Li, Zimeng Zhong, Yun You   +4 more
semanticscholar   +1 more source

Analysis of voltage flicker using Hilbert-Huang Transform

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011
Hilbert Huang Transform (HHT), which was proposed by Huang and developed by Flandrin and his group, is a new signal processing method that can be used in the analysis of nonlinear and nonstationary signals. This study suggests an approach of using Hilbert Huang Transform to measure the voltage flicker in power systems.
Önal, Yasemin, Ece, Dogan Gökhan, Gerek, Ömer Nezih   +2 more
openaire   +1 more source

Hilbert-Huang Transformation: Application to Postural Stability Analysis

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
The aim objective of this paper is the analysis of the Centre Of Pressure (COP) time series by the means of the Hilbert Huang Transformation (HHT). The HHT consists of extracting the Intrinsic Mode Functions (IMFs) from an Empirical Mode Decomposition (EMD), and then applying the Hilbert Transformation on the IMFs.
Amoud, Hassan, Snoussi, Hichem, Hewson, David, Duchene, Jacques   +3 more
openaire   +4 more sources