Abstract
A robust identification algorithm for the parameters of AR stochastic processes is presented. This technique often leads to better performance when the noise is correlated and/or nonstationary, and it is more robust to modeling imprecisions. The algorithm is used to analyze telecommunication traffic data, mainly video traffic (VBR) in ATM networks.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3071-3076 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 3 |
| State | Published - 1999 |
| Externally published | Yes |
| Event | The 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA Duration: Dec 7 1999 → Dec 10 1999 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization