Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,442,018 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
18 relations
Adaptive algorithm
Electromagnetic environment
Fast Fourier transform
Fourier analysis
Expand
Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An unsupervised approach for co-channel speech separation using Hilbert–Huang transform and Fuzzy C-Means clustering
M. Kumar
,
R. Kumaraswamy
International Journal of Speech Technology
2017
Corpus ID: 11833839
In this paper we discuss an unsupervised approach for co-channel speech separation where two speakers are speaking simultaneously…
Expand
2009
2009
Detection and location of power quality disturbances based on mathematical morphology and hilbert-huang transform
Yong Huang
,
Yongqiang Liu
,
Zhiping Hong
International Conference on Electronic…
2009
Corpus ID: 43519506
With the power system development, the application of non-linear power components is becoming more and more extensive, and the…
Expand
2009
2009
Hilbert‐Huang Transform of geomagnetic pulsations at auroral expansion onset
R. Kataoka
,
Y. Miyoshi
,
A. Morioka
2009
Corpus ID: 73570501
[1] The waveform of geomagnetic pulsations at auroral expansion onset looks irregular and is hardly resolved by Fourier transform…
Expand
2008
2008
Hilbert Huang Transform for Predicting Proteins Subcellular Location
Feng Shi
,
Qiujia Chen
,
Nana Li
2008
Corpus ID: 53710254
Apoptosis proteins have a central role in the development and homeostasis of an organism. These proteins are very important for…
Expand
2008
2008
Some Properties of an Empirical Mode Type Signal Decomposition Algorithm
S. Hawley
,
L. Atlas
,
H. Chizeck
IEEE Signal Processing Letters
2008
Corpus ID: 9531095
The empirical mode decomposition (EMD) has seen widespread use for analysis of nonlinear and nonstationary time-series. Despite…
Expand
2008
2008
Applications of empirical mode decomposition for processing nonstationary signals
D. M. Klionski
,
N. Oreshko
,
V. Geppener
,
A. Vasiljev
Pattern Recognition and Image Analysis
2008
Corpus ID: 33651979
Empirical mode decomposition (EMD) has recently been pioneered by Huang as a fully data-driven technique aimed at decomposing…
Expand
2007
2007
Hilbert-Huang Transform (HHT) Analysis of Human Activities Using Through-Wall Noise Radar
C. Lai
,
Q. Ruan
,
Ram M. Narayanan
International Symposium on Signals, Systems, and…
2007
Corpus ID: 29851084
Various parts of the human body have different movements when a person is performing different physical activities. There is a…
Expand
Highly Cited
2007
Highly Cited
2007
A Tour of the Tour of the Hilbert-Huang Transform: An Empirical Tool for Signal Analysis
Ruqiang Yan
,
R. Gao
IEEE Instrumentation & Measurement Magazine
2007
Corpus ID: 33481267
The HHT provides an alternative tool for signal analysis. Case studies in applying the HHT technique for bearing degradation…
Expand
2006
2006
On certain theoretical developments underlying the Hilbert-Huang transform
S. Kizhner
,
Karin Blank
,
Thomas P. Flatley
,
Norden E. Huang
,
D. Petrick
,
P. Hestnes
IEEE Aerospace Conference
2006
Corpus ID: 1646722
One of the main traditional tools used in scientific and engineering data spectral analysis is the Fourier integral transform and…
Expand
2004
2004
A Novel Pitch Period Detection Algorithm Based on Hilbert-Huang Transform
Zhihua Yang
,
D. Huang
,
Lihua Yang
Chinese Conference on Biometric Recognition
2004
Corpus ID: 36657699
In this paper, a novel event detection pitch detector is presented Hilbert-Huang Transform is employed to locate the instant at…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE