Suchergebnisse - sparse RLS algorithm

SPARLS: The Sparse RLS Algorithm von 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 …”
Volltext

Online sequential echo state network with sparse RLS algorithm for time series prediction von 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 …”
Volltext

Group sparse RLS algorithms von 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 …”
Volltext

Recursive regularisation parameter selection for sparse RLS algorithm von 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 …”
Volltext

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

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

Bias-compensated Sparse RLS Algorithms Over Distributed Networks von 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 …”
Volltext

A Modified Recursive Regularization Factor Calculation for Sparse RLS Algorithm with l1-Norm von 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 …”
Volltext

Improved Variable Forgetting Factor Proportionate RLS Algorithm with Sparse Penalty and Fast Implementation Using DCD Iterations von 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 …”
Volltext

Sparseness Controlled Proportionate RLS Algorithm for Sparse and Non-Sparse Systems von 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 …”
Volltext

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

Volltext

A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems von 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 …”
Volltext

Correntropy Induced Metric Penalized Sparse RLS Algorithm to Improve Adaptive System Identification von 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 …”
Volltext

Variable step-size convex regularized PRLS algorithms von 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 …”
Volltext

Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation von 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 …”
Volltext

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

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

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

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

Greedy Sparse RLS von 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 …”
Volltext

Channel Sparsity Aware Function Expansion Filters Using the RLS Algorithm for Nonlinear Acoustic Echo Cancellation von 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 …”
Volltext

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

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

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

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