SPARLS: The Sparse RLS Algorithm

DOI10.1109/TSP.2010.2048103zbMath1392.94080OpenAlexW3139847728MaRDI QIDQ4570424

Vahid Tarokh, Behtash Babadi, Nicholas Kalouptsidis

Publication date: 9 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2010.2048103

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Non-Markovian processes: estimation (62M09) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (7)

Recursive Generalized Maximum Correntropy Criterion Algorithm with Sparse Penalty Constraints for System Identification ⋮ Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments ⋮ Online sequential echo state network with sparse RLS algorithm for time series prediction ⋮ Online sparse identification for regression models ⋮ Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems ⋮ A sparse signal reconstruction algorithm in wireless sensor networks ⋮ Analysis of compressed distributed adaptive filters

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