Skip to search formSkip to main contentSkip to account menu

Hilbert–Huang transform

Known as: Empirical mode decomposition, Hilbert huang transform, Hilbert-Huang Transform 
The Hilbert–Huang transform (HHT) is a way to decompose a signal into so-called intrinsic mode functions (IMF) along with a trend, and obtain… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
In this paper, we propose a no-reference image quality assessment (IQA) metric for noise-distorted images specifically based on… 
2010
2010
This paper presents a signal analysis process for improving energy completeness based on the Hilbert-Huang Transform (HHT… 
2010
2010
In order to analyze the feature of heart sound accurately and effectively, this paper presents a feature analysis approach of… 
2008
2008
One of the most challenging tasks for which EMD could be useful is that of non-parametric signal denoising, an area in which… 
2008
2008
: Involuntary human hand motions, or tremors, are normally regarded as a non-stationary process. Due to its nonlinear and non… 
2005
2005
Hilbert-Huang transform (HHT) is a new method for signal analysis developed by Norden.E.Huang et al in 1998. The key problem is… 
2005
2005
  • Nan Li
  • 2005
  • Corpus ID: 124650778
In the paper, empirical mode decomposition (EMD) based Hilbert transform (HT), a new method for processing nonstationary signals… 
2003
2003
  • Luo Qi
  • 2003
  • Corpus ID: 123757437
Hilbert Huang Transform (HHT) method,which includes Huang transform and Hilbert transform,is applied to make spectra analysis of… 
2001
2001
A new method, the Hilbert-Huang Transform, has been developed for analyzing nonlinear and nonstationary data. The key part of the…