A Sparse Conjugate Gradient Adaptive Filter

In this letter, we propose a novel conjugate gradient (CG) adaptive filtering algorithm for online estimation of system responses that admit sparsity. Specifically, the Sparsity-promoting Conjugate Gradient (SCG) algorithm is developed based on iterative reweighting methods popular in the sparse sig...

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Veröffentlicht in:	IEEE signal processing letters 2020, Vol.27, p.1000-1004
Hauptverfasser:	Lee, Ching-Hua, Rao, Bhaskar D., Garudadri, Harinath
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Adaptive filters Adaptive systems Affine scaling Algorithms Computer simulation conjugate gradient Conjugates Convergence Correlation Estimation iterative reweighting Markov processes On-line systems Optimization Queuing theory Regularization Signal processing algorithms Signal reconstruction sparse adaptive filter sparse signal recovery Sparsity
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