Results 231 to 240 of about 2,687,450 (307)

Modal parameter identification in civil structures via Hilbert transform ensemble with improved empirical wavelet transform

Journal of Vibration and Control, 2023
To overcome the inaccurate frequency band division in empirical wavelet transform (EWT) induced by high noise and modulation edge band, this study proposes an improved EWT (IEWT) and applies it to operational modal analysis (OMA) in civil structures. The
Shiqiang Qin, Jian Tang, Jiacheng Feng, Yunlai Zhou, Fei Yang, M. Wahab   +5 more
semanticscholar   +1 more source

Structural motion estimation via Hilbert transform enhanced phase-based video processing

Mechanical systems and signal processing, 2022
The non-contact sensing techniques using image/video processing have flourished in recent years benefited from the rapid development of digital cameras. However, high-fidelity motion extraction from acquired image frames is still challenging.
G. Liu, M.Z. Li, Z. Mao, Qing Yang
semanticscholar   +1 more source

Toward Load Identification Based on the Hilbert Transform and Sequence to Sequence Long Short-Term Memory

IEEE Transactions on Smart Grid, 2021
Load identification is a core concept in non-intrusive load monitoring (NILM). Through NILM systems, users can check their home appliance usage habits and then adjust their behavior to save electricity.
Thi-Thu-Huong Le, Shinwook Heo, Howon Kim   +2 more
semanticscholar   +1 more source

An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform

IEEE Sensors Journal, 2020
Due to its great convenience for inspection of pipelines under special conditions, leakage localization with a single acoustic emission (AE) sensor has attracted increasing attention.
Changhang Xu, Shasha Du, Piao Gong, Zhenxing Li, Guoming Chen, G. Song   +5 more
semanticscholar   +1 more source

Fractional Hilbert transform

Optics Letters, 1996
We have generalized the Hilbert transform by defining the fractional Hilbert transform (FHT) operation. In the first stage, two different approaches for defining the FHT are suggested. One is based on modifying only the spatial filter, and the other proposes using the fractional Fourier plane for filtering.
A W, Lohmann, D, Mendlovic, Z, Zalevsky
openaire   +2 more sources

The Hilbert transform of cubic splines

Communications in nonlinear science & numerical simulation, 2020
In this work, we propose an efficient method to calculate the Hilbert transform of cubic splines. We start by developing an analytical derivation for the problem.
M. Abd-el-Malek, Samer S. Hanna
semanticscholar   +1 more source

Vibration measurement based on multiple Hilbert transform for self-mixing interferometry

Optics Communications, 2019
In order to reconstruct the micro-vibration quickly and easily, a novel phase unwrapping algorithm based on multiple Hilbert transform is proposed.
Zihua Zhang, Chengwei Li, Zhen Huang
semanticscholar   +1 more source

Time delay estimation of random signals using cross-correlation with Hilbert Transform

Measurement, 2019
This paper presents an application of the Hilbert Transform (HT) in the time delay estimation (TDE) of random signals by cross-correlation function (CCF).
R. Hanus
semanticscholar   +1 more source

Reconstruction of Instantaneous Phase of Unipolar Atrial Contact Electrogram Using a Concept of Sinusoidal Recomposition and Hilbert Transform

IEEE Transactions on Biomedical Engineering, 2015
P. Kuklik, S. Zeemering, B. Maesen, J. Maessen, H. Crijns, S. Verheule, A. Ganesan, U. Schotten   +7 more
semanticscholar   +3 more sources

Improved Hilbert-Huang transform with soft sifting stopping criterion and its application to fault diagnosis of wheelset bearings.

ISA transactions, 2021
Vibration signals from rotating machineries are usually of multi-component and modulated signals. Hilbert-Huang transform (HHT), hereby referring to the combination of empirical mode decomposition (EMD) and normalized Hilbert transform (NHT), is an ...
Zhiliang Liu, Dandan Peng, M. Zuo, Jianshuo Xia, Yong Qin   +4 more
semanticscholar   +1 more source