Search Results - sparse RLS algorithm

SPARLS: The Sparse RLS Algorithm by Babadi, B, Kalouptsidis, N, Tarokh, V

“…We develop a recursive L 1 -regularized least squares (SPARLS) algorithm for the estimation of a sparse tap-weight vector in the adaptive filtering setting…”
Get full text

Online sequential echo state network with sparse RLS algorithm for time series prediction by Yang, Cuili, Qiao, Junfei, Ahmad, Zohaib, Nie, Kaizhe, Wang, Lei

“… Secondly, the sparse recursive least squares (SRLS) algorithm and the subgradients technique are combined to estimate the output weight matrix…”
Get full text

Group sparse RLS algorithms by Eksioglu, Ender M.

“…‐based adaptive algorithms, attempts at group sparse adaptive methods are very scarce. In this paper, we introduce novel recursive least squares (RLS…”
Get full text

Recursive regularisation parameter selection for sparse RLS algorithm by Sun, Dajun, Liu, Lu, Zhang, Youwen

“…In this Letter, the authors propose a recursive regularisation parameter selection method for sparse recursive least squares (RLS) algorithm…”
Get full text

Fast Sparse RLS Algorithms by Qin, Zhen, Tao, Jun, An, Liang, Yao, Shuai, Han, Xiao

“…Sparse recursive least squares (RLS) algorithms designed by introducing a sparse penalty (regularization…”
Get full text

Bias-compensated Sparse RLS Algorithms Over Distributed Networks by Peng, Senran, Jia, Lijuan, Kanae, Shunshoku, Yang, Zi-jiang

“… Furthermore, we give simulation results to verify that proposed algorithms have better estimation accuracy than other sparse RLS algorithms without bias compensation, it also proves that results…”
Get full text

A Modified Recursive Regularization Factor Calculation for Sparse RLS Algorithm with l1-Norm by Lim, Junseok, Lee, Keunhwa, Lee, Seokjin

“…In this paper, we propose a new calculation method for the regularization factor in sparse recursive least squares (SRLS…”
Get full text

Improved Variable Forgetting Factor Proportionate RLS Algorithm with Sparse Penalty and Fast Implementation Using DCD Iterations by Zhen, Han, Fengrui, Zhang, Yu, Zhang, Yanfeng, Han, Peng, Jiang

“…) mechanism based least mean squares (LMS) algorithms and RLS algorithms with a sparse regularization term…”
Get full text

Sparseness Controlled Proportionate RLS Algorithm for Sparse and Non-Sparse Systems by Meena, Shiv Ram

“… The classical recursive least square algorithm (RLS) is amended by accommodating the proportionate matrix to propose the sparseness-controlled proportionate recursive least square (SC-PRLS) algorithm…”
Get full text

Sparseness Controlled Proportionate RLS Algorithm for Sparse and Non-Sparse Systems by Meena, Shiv Ram

Get full text

A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems by Guo, Xinyu, Ou, Shifeng, Jiang, Menghua, Gao, Ying, Xu, Jindong, Cai, Zhuoran

“… In view of this, we propose a variable sliding window sparse kernel recursive least squares (VSWS-KRLS) algorithm…”
Get full text

Correntropy Induced Metric Penalized Sparse RLS Algorithm to Improve Adaptive System Identification by Guan Gui, Linglong Dai, Baoyu Zheng, Li Xu, Adachi, Fumiyuki

“… Sparse recursive least square (RLS) algorithms have been attracted intensely attentions due to their low-complexity and easy- implementation…”
Get full text

Variable step-size convex regularized PRLS algorithms by Wang, Yu, Qin, Zhen, Tao, Jun, Xia, Yili

“…The proportionate updating (PU) and zero-attracting (ZA) mechanisms have been applied independently in the development of sparsity-aware recursive least squares (RLS) algorithms…”
Get full text

Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation by Koike-Akino, T., Molisch, A. F., Man-On Pun, Annavajjala, R., Orlik, P.

“…We develop a recursive least-squares (RLS) algorithm which employs L 1 -L q regularized sparse regressions to estimate a sparse channel matrix in frequency-and-time selective fading for multi-input multi-output (MIMO…”
Get full text

Enhanced Sparsity-aware RLS Algorithm for Efficient Estimation of Time-varying Sparse System by Zhu, Zhengliang, Tong, Feng, Zhou, Yuehai

“…The sparsity-aware recursive least squares (RLS) algorithms have been designed to impose norm (l0 or l1-norm…”
Get full text

A family of sparse group Lasso RLS algorithms with adaptive regularization parameters for adaptive decision feedback equalizer in the underwater acoustic communication system by Liu, Lu, Sun, Dajun, Zhang, Youwen

“…) Recursive Least Squares (RLS) algorithms for sparse underwater acoustic channel equalization…”
Get full text

Greedy Sparse RLS by Dumitrescu, B., Onose, A., Helin, P., Tabus, I.

“…Starting from the orthogonal (greedy) least squares method, we build an adaptive algorithm for finding online sparse solutions to linear systems…”
Get full text

Channel Sparsity Aware Function Expansion Filters Using the RLS Algorithm for Nonlinear Acoustic Echo Cancellation by Jiang, Jean, Vijayarajan, Vinith, Tan, Lizhe

“…) filters are developed according to the sparse SEQ-RLS algorithm. The computation complexity for the upper bound is analyzed to validate the efficiency for each proposed filter…”
Get full text

A new diffusion sparse RLS algorithm with improved convergence characteristics by Das, Bijit Kumar, Chakraborty, Mrityunjoy

“…A new sparsity aware recursive least squares (RLS) algorithm is proposed for distributed learning in a diffusion network…”
Get full text

EM Based p-norm-like Constraint RLS Algorithm for Sparse System Identification by Jiang, Shuyang, Kung Yao

“…In this paper, the recursive least squares (RLS) algorithm is considered in the sparse system identification setting…”
Get full text