On the properties of the reduction-by-composition LMS algorithm (Q2733068)
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scientific article; zbMATH DE number 1632396
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On the properties of the reduction-by-composition LMS algorithm |
scientific article; zbMATH DE number 1632396 |
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On the properties of the reduction-by-composition LMS algorithm (English)
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2 August 2002
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adaptive signal processing
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convergence
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tuning parameters
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adaptive filtering
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mean square convergence
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reduction-by-composition least mean square algorithm
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0.8392185
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0.8384033
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0.83189523
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0.8267913
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0.8209981
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0.81975174
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0.8188048
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The authors investigate some statistical properties of the reduction-by-composition least mean square adaptive filtering algorithm introduced by \textit{S. G. Chen, Y. A. Kao} and \textit{C. Y. Chen} [IEEE Trans. Circuits Syst. II 43, 372-378 (1996)]. They establish mean and mean square convergence, provide recommendations for the choice of the tuning parameters and report simulation results in support of the theoretical findings.
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