1 / 13

SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME

Saint-Petersburg State University of Aerospace Instrumentation. SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME. Dmitry Bychkov, Mark Polyak. Saint-Petersburg, 2009. Telemetry information. Z-coefficient. - measure of process oscillativity.

engelbert-nathanial
Télécharger la présentation

SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME

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. Saint-Petersburg State University of Aerospace Instrumentation SMOOTHING INTERVAL ESTIMATION USING CORRELATION FUNCTION TYPE FOR A RANDOM PROCESS IN REAL TIME Dmitry Bychkov, Mark Polyak Saint-Petersburg, 2009

  2. Telemetry information

  3. Z-coefficient - measure of process oscillativity where: n(H,T) – number of crossovers of the H level in time interval T; nmax(T)– number of extremums in time interval T;

  4. Graph of Z- coefficient for two types (sampling frequency 100Hz).

  5. Graph of average values of Z- coefficient (sampling frequency 100Hz).

  6. RESULTS

  7. Graph of n as a function of Fc Fd = 50 Hz

  8. Fd = 100 Hz

  9. Static table (Example for the first type of random process with γ = 50 Hz) Fc α

  10. Practical example

  11. Thank you for your attention!

More Related