Results 291 to 300 of about 462,768 (332)

Spectral analysis of the truncated Hilbert transform with overlap

2014
We study a restriction of the Hilbert transform as an operator $H_T$ from $L^2(a_2,a_4)$ to $L^2(a_1,a_3)$ for real numbers $a_1
Alaifari, Rima, Katsevich, Alexander
openaire   +1 more source

Shifting Trends in Bimodal Phytoplankton Blooms in the North Pacific and North Atlantic Oceans From Space With the Holo-Hilbert Spectral Analysis

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
Min Zhang, Yuanling Zhang, Fang-Li Qiao, Jia Deng, G. Wang   +4 more
semanticscholar   +1 more source

Order-frequency Holo-Hilbert spectral analysis for machinery fault diagnosis under time-varying operating conditions.

ISA transactions
Wanming Ying, Jinde Zheng, Wu Huang, Jinyu Tong, Haiyang Pan, Yongbo Li   +5 more
semanticscholar   +1 more source

Dispersion versus Absorption (DISPA): Hilbert Transforms in Spectral Line Shape Analysis

1982
Chapter 1 describes the origin and shape of a hypothetical spectral absorption signal arising from a single driven oscillator with a single natural frequency and a single relaxation time. Experimental spectra, on the other hand, often exhibit signals composed of a sum of two or more peaks of different natural frequencies and/or line widths.
openaire   +1 more source

Hilbert-Huang Transform (HHT) Spectral Analysis

2008
A. Ramachandra Rao, En-Ching Hsu
openaire   +1 more source

A new physically meaningful general nonlocal reverse-space nonlinear Schrödinger equation and its novel Riemann–Hilbert method via temporal-part spectral analysis for deriving soliton solutions

Nonlinear dynamics, 2023
Jianping Wu
semanticscholar   +1 more source

Spectral analysis of stabilographic signals by Fourier and Hilbert – Huang methods

2022 VIII International Conference on Information Technology and Nanotechnology (ITNT), 2022
M.V. Dakinova, L.M. Bikchentaeva, I.S. Tagirova, T.V. Baltina, G.G. Yafarova, O.A. Sachenkov   +5 more
openaire   +1 more source

Mulifractal description of wind power using arbitrary order Hilbert spectral analysis

2013
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 (IMF) using Empirical Mode Decomposition (EMD).
Calif, Rudy, Schmitt, François G, Huang, Yongxiang   +2 more
openaire   +1 more source

Broad spectral tuning of ultra-low-loss polaritons in a van der Waals crystal by intercalation

Nature Materials, 2020
Javier Taboada-Gutiérrez, Gonzalo Álvarez-Pérez, Jiahua Duan   +2 more
exaly  

Representation Learning for Electroencephalogram-Based Biometrics Using Holo-Hilbert Spectral Analysis

Pattern Recognition and Image Analysis, 2022
M. Svetlakov, I. Hodashinsky, K. Sarin
openaire   +1 more source