Advanced Research on the Empirical Mode Decomposition (EMD) Algorithm

This project is designed to further refine this advanced mathematical concept and explore its potential applications in highway safety, infrastructure, and environment. The research consists of two broad fronts of studies: to improve the presently available Empirical Mode Decomposition (EMD) algorithms and to establish a rigorous mathematical foundation for the generalized adaptive data analysis methodology. The success of the first will enhance immediate improvement of information management in a complex or significantly rich signal data system, such as the Integrated Safety System (ISS) being considered by the Federal Highway Administration (FHWA) or for full scale traffic control systems. The success of the second research area would enable drastic improvement of robustness and reliability of the algorithm and guarantees its further applications. The project is managed by the Office of Safety Research & Development (R&D).


  • English


  • Status: Active
  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Lee, Kunik

  • Performing Organizations:

    Princeton University

    NASA Goddard Space Flight Center, and Center for Ocean Land Atmospheric Studies
  • Start Date: 20130701
  • Expected Completion Date: 0
  • Actual Completion Date: 20120331
  • Source Data: RiP Project 34558

Subject/Index Terms

Filing Info

  • Accession Number: 01485437
  • Record Type: Research project
  • Source Agency: Department of Transportation
  • Files: RiP, USDOT
  • Created Date: Jul 2 2013 1:01AM