Sparsity-Aware Adaptive Algorithms Based on Alternating Optimization and Shrinkage

This letter proposes a novel sparsity-aware adaptive filtering scheme and algorithms based on an alternating optimization strategy with shrinkage. The proposed scheme employs a two-stage structure that consists of an alternating optimization of a diagonally-structured matrix that speeds up the conve...

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Veröffentlicht in:	IEEE signal processing letters 2014-02, Vol.21 (2), p.225-229
Hauptverfasser:	de Lamare, Rodrigo C., Sampaio-Neto, Raimundo
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Adaptive filters Algorithm design and analysis Algorithms Convergence iterative methods Least squares approximations Optimization Prediction algorithms Shrinkage Signal processing algorithms sparse signal processing Strategy Tracking
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