Abstract
The existence of impulsive signals with α-stable non-Gaussian distributions has already been reported in some applications. In this paper, a new adaptive lattice algorithm is proposed for adaptive filtering of α-stable AR processes. The performance of this algorithm is compared to that of other stochastic gradient-based algorithms for stable AR processes for different α's. It is shown that the proposed algorithm achieves a superior convergence speed with respect to the other algorithms.
| Original language | English |
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| Pages | 77-80 |
| Number of pages | 4 |
| State | Published - 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 IEEE TENCON Conference. Part 1 (of 2) - Brisbane, Australia Duration: 2 Dec 1997 → 4 Dec 1997 |
Conference
| Conference | Proceedings of the 1997 IEEE TENCON Conference. Part 1 (of 2) |
|---|---|
| City | Brisbane, Australia |
| Period | 2/12/97 → 4/12/97 |
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