WebDec 1, 2015 · Group sparse RLS algorithms. Article. Full-text available. Dec 2014; INT J ADAPT CONTROL; Ender Mete Eksioglu; SUMMARY Group sparsity is one of the important signal priors for regularization of ... WebJul 1, 2024 · Group sparse RLS algorithms. Article. Full-text available. Dec 2014; INT J ADAPT CONTROL; Ender Mete Eksioglu; SUMMARY Group sparsity is one of the important signal priors for regularization of ...
Online dictionary learning algorithm with periodic updates …
WebMar 1, 2024 · The proposed adaptive RLS algorithms can adaptively select the regularization parameters regardless of whether the channel of underwater acoustic channel is general sparse channel, group... WebJun 1, 2024 · In this paper, we propose a family of adaptive sparse group Lasso RLS algorithms, which can adaptively select the regularization parameters according to … ofirg
Direct adaptive equalization based on fast sparse recursive least ...
WebFeb 1, 2024 · This study proposes a block-sparse non-uniform norm constraint normalised subband adaptive filter (BS-NNCNSAF) for the block-sparse system identification problem, which is obtained by minimising a novel cost function involving the non-uniform mixed l 2, p norm like a constraint. It can achieve better performance compared with the existing … WebMar 1, 2024 · Compared with the conventional RLS, the random sparse RLS algorithm [4-8] and group sparse RLS algorithm [9-11], the proposed sparse RLS algorithm performs … WebThis approach improves on the Recursive Least Squares (RLS) algorithm by adding a weighted norm penalty to the RLS cost function, and introduces two new algorithms which emphasize sparsity during the adaptive filtering process and allow for faster convergence when the system under consideration is sparse. We propose a new approach for the … ofir gold