Robust adaptive filtering algorithms for \(\alpha\)-stable random processes (Q2733041)
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scientific article; zbMATH DE number 1632376
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Robust adaptive filtering algorithms for \(\alpha\)-stable random processes |
scientific article; zbMATH DE number 1632376 |
Statements
4 December 2001
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adaptive filtering
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\(\alpha\)-stable random processes
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impulsive noise
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LMS algorithms
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fractional low order statistics
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Robust adaptive filtering algorithms for \(\alpha\)-stable random processes (English)
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The paper studies robust adaptive filtering algorithms in an impulsive noise environment. In particular, the case of additive finite mean noise modeled by the so called \(\alpha\)-stable processes is investigated, and algorithms based on fractional low order statistics are proposed. The performance of the resulting adaptive filters is compared to those of the traditional normalized least mean square and normalized least mean \(p\)-norm algorithms.
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