Suchergebnisse - sparse RLS algorithm

Online sequential echo state network with sparse RLS algorithm for time series prediction

Autoren: Lei Wang Kaizhe Nie Zohaib Ahmad et al.

Quelle: Neural Networks. 118:32-42

Schlagwörter: Time Factors, 0202 electrical engineering, electronic engineering, information engineering, Neural Networks, Computer, 02 engineering and technology, Least-Squares Analysis, Algorithms, Forecasting

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/31228722
https://dblp.uni-trier.de/db/journals/nn/nn118.html#YangQANW19
https://doi.org/10.1016/j.neunet.2019.05.006
https://www.ncbi.nlm.nih.gov/pubmed/31228722
https://www.wikidata.org/entity/Q92954944
https://www.sciencedirect.com/science/article/pii/S0893608019301388

Fast Sparse RLS Algorithms

Autoren: Shuai Yao Zhen Qin Liang An et al.

Quelle: 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP). :1-5

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/conf/wcsp/wcsp2018.html#QinTAYH18

Correntropy Induced Metric Penalized Sparse RLS Algorithm to Improve Adaptive System Identification

Autoren: Linglong Dai Baoyu Zheng Li Xu et al.

Quelle: 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring). :1-5

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Zugangs-URL: https://dblp.uni-trier.de/db/conf/vtc/vtc2016s.html#GuiDZXA16
http://ieeexplore.ieee.org/document/7504179/
https://ieeexplore.ieee.org/document/7504179/
https://tohoku.pure.elsevier.com/en/publications/correntropy-induced-metric-penalized-sparse-rls-algorithm-to-impr

A new diffusion sparse RLS algorithm with improved convergence characteristics

Autoren: Bijit Kumar Das Mrityunjoy Chakraborty

Quelle: 2016 IEEE International Symposium on Circuits and Systems (ISCAS). :2651-2654

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/7539138
https://dblp.uni-trier.de/db/conf/iscas/iscas2016.html#DasC16

SPARLS: The Sparse RLS Algorithm

Autoren: Babadi, Behtash Kalouptsidis, Nicholas Tarokh, Vahid

Quelle: IEEE Transactions on Signal Processing. 58:4013-4025

Schlagwörter: adaptive filters, sparse system identification, compressed sensing

Dateibeschreibung: application/pdf

Zugangs-URL: https://dash.harvard.edu/bitstream/handle/1/4687196/tsp_sparls_2010.pdf?sequence%3D1
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005446434
https://dash.harvard.edu/handle/1/4687196
https://ieeexplore.ieee.org/document/5446434/
https://dblp.uni-trier.de/db/journals/tsp/tsp58.html#BabadiKT10
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005446434
http://dsp.rice.edu/sites/dsp.rice.edu/files/cs/sparls-tsp10.pdf
http://ui.adsabs.harvard.edu/abs/2010ITSP...58.4013B/abstract
https://pergamos.lib.uoa.gr/uoa/dl/object/3036857

A Modified Recursive Regularization Factor Calculation for Sparse RLS Algorithm with l1-Norm

Autoren: Junseok Lim Keunhwa Lee Seokjin Lee

Quelle: Mathematics, Vol 9, Iss 13, p 1580 (2021)

Schlagwörter: sparse impulse response system, sparse system estimation, l1-RLS, regularization factor, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2227-7390/9/13/1580; https://doaj.org/toc/2227-7390

Zugangs-URL: https://doaj.org/article/d80f4a16eb454367896376841a70d510

A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems

Autoren: Xinyu Guo Shifeng Ou Menghua Jiang et al.

Quelle: IEEE Access, Vol 9, Pp 163165-163177 (2021)

Schlagwörter: Sparsification, variable sliding window method, system identification, kernel recursive least squares algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9638460/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/22901a3be8314f639bb8e2b095760a6c

Channel Sparsity Aware Function Expansion Filters Using the RLS Algorithm for Nonlinear Acoustic Echo Cancellation

Autoren: Jean Jiang Vinith Vijayarajan Lizhe Tan

Quelle: IEEE Access, Vol 8, Pp 118305-118314 (2020)

Schlagwörter: Nonlinear sparse system modeling, nonlinear acoustic echo cancellation, sparse sequential RLS algorithm, Volterra filter, even mirror Fourier nonlinear filter, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9127432/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/60072244e1034355a9c94c9059d0a93e

Order-Extended Sparse RLS Algorithm for Doubly-Selective MIMO Channel Estimation

Autoren: R. Annavajjala Philip Orlik Toshiaki Koike-Akino et al.

Quelle: 2011 IEEE International Conference on Communications (ICC). :1-6

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Zugangs-URL: https://dblp.uni-trier.de/db/conf/icc/icc2011.html#Koike-AkinoMPAO11
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005963228
https://ieeexplore.ieee.org/document/5963228/
http://dblp.uni-trier.de/db/conf/icc/icc2011.html#Koike-AkinoMPAO11

Recursive regularisation parameter selection for sparse RLS algorithm

Autoren: Youwen Zhang Lu Liu Dajun Sun

Quelle: Electronics Letters. 54:286-287

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ui.adsabs.harvard.edu/abs/2018ElL....54..286S/abstract
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/el.2017.4242
https://digital-library.theiet.org/content/journals/10.1049/el.2017.4242
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/el.2017.4242

SPARLS: The sparse RLS algorithm

Autoren: Babadi, B. Kalouptsidis, N. Tarokh, V.

Index Begriffe: scientific_publication_article, Scientific publication - Journal Article

URL: https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3036857

EM Based p-norm-like Constraint RLS Algorithm for Sparse System Identification

Autoren: Jiang, Shuyang Yao, Kung

Index Begriffe: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2312.05829

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

Autoren: Han Zhen Zhang Fengrui Zhang Yu et al.

Quelle: China Communications. 21:1-12

Sparseness Controlled Proportionate RLS Algorithm for Sparse and Non-Sparse Systems

Autoren: Shiv Ram Meena

Quelle: The International Journal of Advanced Networking and Applications. 15:6101-6108

A family of sparse group Lasso RLS algorithms with adaptive regularization parameters for adaptive decision feedback equalizer in the underwater acoustic communication system.

Autoren: Liu, Lu Sun, Dajun Zhang, Youwen

Quelle: Physical Communication. Jun2017, Vol. 23, p114-124. 11p.

Schlagwörter: Underwater acoustic communication, Least squares, Algorithms, Regularization parameter, Decision feedback equalizers, Symbol error rate

Enhanced Sparsity-Aware RLS Algorithm for Efficient Estimation of Time-Varying Sparse System

Autoren: Zhengliang Zhu Feng Tong Yuehai Zhou

Quelle: IEEE Transactions on Circuits and Systems II: Express Briefs. 70:4589-4593

Evaluating Sparse RLS Adaptive Equalization Algorithms Under Wind-Driven Time-Varying Shallow Water Channel

Autoren: Haoci Zheng Qiaoning Zheng Weihua Jiang et al.

Quelle: Proceedings of the 18th International Conference on Underwater Networks & Systems. :1-2

A new diffusion sparse equal-scale adaptive RLS algorithm

Autoren: Zhuang Wu Wen Mi

Quelle: 2022 34th Chinese Control and Decision Conference (CCDC). :5969-5973

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Bias-compensated Sparse RLS Algorithms Over Distributed Networks

Autoren: Senran Peng Lijuan Jia Shunshoku Kanae et al.

Quelle: 2022 41st Chinese Control Conference (CCC). :3138-3143

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Block RLS algorithm for surveillance video processing based on image sparse representation

Autoren: Fang Yang Qianru Jiang Sheng Li et al.

Quelle: 2017 29th Chinese Control And Decision Conference (CCDC). :2195-2200

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/7978879/