1 / 12

Hilbert-Huang Transform Data Processing System (HHT-DPS) V1.2

Hilbert-Huang Transform Data Processing System (HHT-DPS) V1.2. A scientific and engineering analysis tool for non-linear and non-stationary data applications. by Semion Kizhner, Karin Blank, Tom Flatley / 560, Dr. Norden E. Huang / 971, and Darrell Smith / OSC. Goals and Objectives.

Télécharger la présentation

Hilbert-Huang Transform Data Processing System (HHT-DPS) V1.2

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Hilbert-Huang Transform Data Processing System (HHT-DPS) V1.2 A scientific and engineering analysis tool for non-linear and non-stationary data applications by Semion Kizhner, Karin Blank, Tom Flatley / 560, Dr. Norden E. Huang / 971, and Darrell Smith / OSC 1

  2. Goals and Objectives • Design and build a turn-key, user-friendly, file driven, PC based system that implements the HHT algorithms developed by Dr. Norden Huang • Phase 1 – “Software Only” version • Phase 2 – “Hardware Accelerated” version 2

  3. EMD Process 3

  4. Intrinsic Mode Functions 4

  5. HHT Application Example 5

  6. Development Strategy • Use Dr. Huang’s published papers and NASA patented algorithms as the starting point • Port, analyze and re-use only the “available and proven HHT source code fragments” and Matlab scripts • Use existing Empirical Mode Decomposition executable “EMD0.exe” as a functional benchmark 6

  7. HHT-DPS Requirements • Simple PC based Microsoft Windows environment • Straightforward operation via graphical user interface • User configurable processing options • Read user data input file, generate user data output files • “Quick Look” data display capability 7

  8. Development Approach • Prototype new Empirical Mode Decomposition (EMD) routines in Matlab and reproduce results from the existing “EMD0.exe” • Enhance processing algorithms in collaboration with Dr. Huang, analyze output and iterate until data is correct • Implement all prototyped algorithms (EMD and Basic Spectrum Analysis Matlab scripts) in ANSII standard ‘C’ (keeping hardware acceleration in mind) 8

  9. Implementation Details • Develop user interface and system control modules • Integrate and test system modules with benchmark data set (length of day) • Document the system (official “Release V1.2” software package, code documentation, user’s guide, change request forms, problem reports, configuration management) 9

  10. HHT-DPS Top Level Diagram EMD Engine.dll Data Analysis Tools.dll Graphical User Interface HHT-DPS Remote Users (future) Local User Ethernet 10

  11. HHT-DPS Application 11

  12. Current Status • Determining system capabilities/limitations by testing HHT-DPS against different data sources, volumes and magnitudes • Presented at HHT Advanced Tech. Briefing • All user access to HHT-DPS V1.2 via the GSFC Technology Transfer Program office • Summer faculty/students perform h/w study • IEEE paper/presentation, spring 2004 12

More Related