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,

Language

• English

Project

• 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

• TRT Terms: Algorithms; Data analysis; Information management; Integrated systems; Mathematical analysis; Traffic control devices; Traffic signal controllers
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

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