The Application of the Empirical Mode Decomposition and Hilbert Spectral Analysis to Field Data and Future Experimental Designs

Abstract

Our long term goal is to develop a data analysis tool for data from nonstationary and nonlinear processes. The traditional data analysis methods are limited to either stationary or linear processes, or both linear and stationary processes. Unfortunately, natural phenomena are mostly nonstationary and nonlinear. The existing methods can offer little help. Our long term goal is to fill this gap so that we can contribute to our understanding of the dynamics of physical natural phenomena in general and ocean phenomena in particular.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2001
Accession Number
ADA627728

Entities

People

  • Norden E. Huang

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cardiovascular Physiological Phenomena
  • Confidence Limits
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Decomposition
  • Dynamics
  • Earthquake Engineering
  • Engineering
  • Experimental Design
  • Frequency
  • Information Science
  • Mathematics
  • Stationary
  • Stationary Processes
  • Statistics

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Statistical inference.