Výsledky vyhľadávania - sparse RLS algorithm

SPARLS: The Sparse RLS Algorithm Autor 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…”
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Online sequential echo state network with sparse RLS algorithm for time series prediction Autor 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…”
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Group sparse RLS algorithms Autor 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…”
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Recursive regularisation parameter selection for sparse RLS algorithm Autor 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…”
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Fast Sparse RLS Algorithms Autor Qin, Zhen, Tao, Jun, An, Liang, Yao, Shuai, Han, Xiao

“…Sparse recursive least squares (RLS) algorithms designed by introducing a sparse penalty (regularization…”
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Bias-compensated Sparse RLS Algorithms Over Distributed Networks Autor 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…”
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A Modified Recursive Regularization Factor Calculation for Sparse RLS Algorithm with l1-Norm Autor 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…”
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Improved Variable Forgetting Factor Proportionate RLS Algorithm with Sparse Penalty and Fast Implementation Using DCD Iterations Autor 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…”
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Sparseness Controlled Proportionate RLS Algorithm for Sparse and Non-Sparse Systems Autor 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…”
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Sparseness Controlled Proportionate RLS Algorithm for Sparse and Non-Sparse Systems Autor Meena, Shiv Ram

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A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems Autor 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…”
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Correntropy Induced Metric Penalized Sparse RLS Algorithm to Improve Adaptive System Identification Autor 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…”
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Variable step-size convex regularized PRLS algorithms Autor 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…”
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Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation Autor 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…”
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Enhanced Sparsity-aware RLS Algorithm for Efficient Estimation of Time-varying Sparse System Autor Zhu, Zhengliang, Tong, Feng, Zhou, Yuehai

“…The sparsity-aware recursive least squares (RLS) algorithms have been designed to impose norm (l0 or l1-norm…”
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A family of sparse group Lasso RLS algorithms with adaptive regularization parameters for adaptive decision feedback equalizer in the underwater acoustic communication system Autor Liu, Lu, Sun, Dajun, Zhang, Youwen

“…) Recursive Least Squares (RLS) algorithms for sparse underwater acoustic channel equalization…”
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Greedy Sparse RLS Autor 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…”
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Channel Sparsity Aware Function Expansion Filters Using the RLS Algorithm for Nonlinear Acoustic Echo Cancellation Autor 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…”
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A new diffusion sparse RLS algorithm with improved convergence characteristics Autor Das, Bijit Kumar, Chakraborty, Mrityunjoy

“…A new sparsity aware recursive least squares (RLS) algorithm is proposed for distributed learning in a diffusion network…”
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EM Based p-norm-like Constraint RLS Algorithm for Sparse System Identification Autor Jiang, Shuyang, Kung Yao

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