Mathematical Analysis of the Empirical Mode Decomposition

This study consists of two broad fronts of studies: to improve the presently available Empirical Mode Decomposition algorithms and to establish a rigorous mathematical foundation for the generalized adaptive data analysis methodology. The success of the first research area will enhance immediate improvement of information management in a complex or significantly rich signal data system, such as the Integrated Safety System being considered by the Federal Highway Administration 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.

  • Supplemental Notes:
    • Program Information: Exploratory Advanced Research, Trans Surface Transportation Research, Enabling Technologies Team,


  • English


  • Status: Completed
  • Funding: $750000
  • Sponsor Organizations:

    Federal Highway Administration

    Turner-Fairbank Highway Research Center
    McLean, VA  United States  22101
  • Project Managers:

    Lee, Kunik

  • Performing Organizations:

    Princeton University

    Department of Civil Engineering
    Princeton, NJ  United States  08450
  • Principal Investigators:

    Daubechies, Ingrid

  • Start Date: 20080910
  • Expected Completion Date: 0
  • Actual Completion Date: 20120901

Subject/Index Terms

Filing Info

  • Accession Number: 01573545
  • Record Type: Research project
  • Source Agency: Department of Transportation
  • Files: RIP, USDOT
  • Created Date: Aug 24 2015 3:02PM