Abstract
Two algorithms are investigated for the Sampling - Reconstruction Procedures of non Gaussian processes. The optimal algorithm is analyzed on the basis of the conditional mean rule and cumulant functions. The non optimal algorithm is based on the covariance function of the output process. Using this algorithm we obtain the total approximate reconstruction error function. We investigate the Rayleigh processes and the non Gaussian processes on the output of exponential and polynomial converters driven by the Gaussian Markov process. Comparison of both algorithms is given.
| Original language | English |
|---|---|
| Pages (from-to) | 557-564 |
| Number of pages | 8 |
| Journal | International Journal of Circuits, Systems and Signal Processing |
| Volume | 5 |
| Issue number | 5 |
| State | Published - 2011 |
Keywords
- Conditional mean rule
- Non Gaussian process
- Non linear converter
- Sampling - Reconstruction Procedure