Download presentation

Presentation is loading. Please wait.

Published byLouise Johnson Modified about 1 year ago

1
copyright R.J. Marks II ECE 5345 Ergodic Theorems

2
copyright R.J. Marks II In many cases, an ensemble of random processes cannot be obtained. If parameters of a random process can be found from a single observation of the process, the process is said to be ergodic. Mean ergodic Distribution ergodic, etc. Ergodicity

3
copyright R.J. Marks II Not Mean Ergodic Example Battery Factory Ergodicity Mean Ergodic

4
copyright R.J. Marks II Mean Ergodicity Time Average If X(t) is WSS, the expected value is Good so far!

5
copyright R.J. Marks II Mean Ergodicity We’d also like If so, X(t) is mean ergodic!

6
copyright R.J. Marks II Mean Ergodicity Onward…

7
copyright R.J. Marks II Mean Ergodicity Continuing: Rectangle Function

8
copyright R.J. Marks II Mean Ergodicity More:

9
copyright R.J. Marks II Mean Ergodicity

10
copyright R.J. Marks II Ergodicity Thus, a WSS Random Process is mean ergodic if Similar criteria for discrete time stochastic processes.

11
copyright R.J. Marks II Telegraph Signal Ergodic.

12
copyright R.J. Marks II Battery Factory Not ergodic.

13
copyright R.J. Marks II Autocorrelation Ergodic When, for large T, can we approximate Define, for a fixed , X(t) is thus correlation ergodic when Y (t) is mean ergodic for all .

14
copyright R.J. Marks II Autocorrelation Ergodic Note Establishment of correlation ergodicity thus requires fourth order moments of X(t). Better than WSS.

Similar presentations

© 2016 SlidePlayer.com Inc.

All rights reserved.

Ads by Google