Change Detection and Non Stationary Signals Tracking by Adaptive Filtering
| Main Authors: | Mounira RouaÐùnia, Noureddine Doghmane |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2008
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| Online Access: |
https://zenodo.org/record/1331755 |
Daftar Isi:
- In this paper we consider the problem of change detection and non stationary signals tracking. Using parametric estimation of signals based on least square lattice adaptive filters we consider for change detection statistical parametric methods using likelihood ratio and hypothesis tests. In order to track signals dynamics, we introduce a compensation procedure in the adaptive estimation. This will improve the adaptive estimation performances and fasten it-s convergence after changes detection.