Skip to main navigation
Skip to search
Skip to main content
National Central University Home
Help & FAQ
English
中文
Home
Scholar Profiles
Research units
Projects
Research output
Datasets
Prizes
Activities
Press/Media
Impacts
Search by expertise, name or affiliation
An Adaptive Approach for Nonlinear and Nonstationary Data Analysis
Norden E. Huang
Cognitive Intelligence and Precision Healthcare Research Center
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An Adaptive Approach for Nonlinear and Nonstationary Data Analysis'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Hilbert-Huang Transform
100%
Adaptive Approach
100%
Non-stationary Analysis
100%
Nonlinear Data Analysis
100%
Adaptive Method
75%
Non-stationarity
50%
Nonlinearity
25%
Empirical Mode Decomposition
25%
Ensemble Empirical Mode Decomposition
25%
Hilbert Spectrum
25%
Multidimensional Data
25%
Instantaneous Frequency
25%
Accurate Determination
25%
Transform Method
25%
Hilbert Spectral Analysis
25%
Wavelet
25%
Physical Quantity
25%
Stationarity
25%
Degree of Nonlinearity
25%
Time-frequency Energy
25%
Logical Definitions
25%
Time-dependent Intrinsic Correlation
25%
Matching Pursuit Method
25%
Frequency Computation
25%
Time Series Analysis Method
25%
Computer Science
empirical mode decomposition
100%
Traditional Method
100%
Approximation (Algorithm)
50%
Ensemble Method
50%
Hilbert Spectrum
50%
Multidimensional Data
50%
Instantaneous Frequency
50%
Matching Pursuit
50%
Key Information
50%
Process Data
50%
Physical Quantity
50%
Engineering
Hilbert-Huang Transform
100%
Adaptive Method
75%
Empirical-Mode Decomposition
50%
Limitations
50%
Nonlinearity
50%
Stationarity
25%
Dimensional Data
25%
Instantaneous Frequency
25%
Matching Pursuit
25%
Physical Quantity
25%
Mathematics
Nonlinearity
100%
Dimensional Data
50%
Wavelet
50%
Time Series Analysis
50%
Stationarity
50%
Transform Method
50%
Physical Quantity
50%