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Adaptation and Learning
ADAPTATION AND LEARNING
Adaptive tracking of linear time-variant systems by extended RLS algorithms
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An l_2 stable feedback structure for nonlinear adaptive filtering and identification
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Error energy bounds for adaptive gradient algorithms
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A time-domain feedback analysis of filtered-error adaptive gradient algorithms
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Robustness of Gauss-Newton recursive methods: A deterministic feedback analysis
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A state-space approach to adaptive RLS filtering
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