Search Results - sparse recursive least squares algorithm*

Estimation of Underwater Acoustic Channel via Block-Sparse Recursive Least-Squares Algorithm

Authors: Tian Tian Fei-Yun Wu Kunde Yang

Source: 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). :1-6

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 02 engineering and technology

Access URL: http://xplorestaging.ieee.org/ielx7/8949349/8960683/08960886.pdf?arnumber=8960886
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8960886

Direct adaptive equalization based on fast sparse recursive least squares algorithms for multiple-input multiple-output underwater acoustic communications

Authors: Zhen Qin Xiao Han Xiaoyan Wang et al.

Source: The Journal of the Acoustical Society of America. 145:EL277-EL283

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: https://asa.scitation.org/doi/pdf/10.1121/1.5096630
https://pubmed.ncbi.nlm.nih.gov/31046369
https://www.ncbi.nlm.nih.gov/pubmed/31046369
https://europepmc.org/article/MED/31046369
http://ui.adsabs.harvard.edu/abs/2019ASAJ..145L.277Q/abstract
https://asa.scitation.org/doi/full/10.1121/1.5096630

Time-recursive multi-pitch estimation using group sparse recursive least squares

Authors: Andreas Jakobsson Filip Elvander Johan Sward

Source: 2016 50th Asilomar Conference on Signals, Systems and Computers. :369-373

Subject Terms: 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science

Access URL: https://ieeexplore.ieee.org/document/7869062/
https://doi.org/10.1109/ACSSC.2016.7869062
http://ieeexplore.ieee.org/document/7869062/
https://portal.research.lu.se/en/publications/time-recursive-multi-pitch-estimation-using-group-sparse-recursiv
https://dblp.uni-trier.de/db/conf/acssc/acssc2016.html#ElvanderSJ16
http://doi.org/10.1109/ACSSC.2016.7869062

Distributed Sparse Recursive Least-Squares Over Networks

Authors: Chunguang Li Ying Liu Zhaoting Liu

Source: IEEE Transactions on Signal Processing. 62:1386-1395

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/6725674/
https://dblp.uni-trier.de/db/journals/tsp/tsp62.html#LiuLL14
http://ieeexplore.ieee.org/document/6725674/
https://ui.adsabs.harvard.edu/abs/2014ITSP...62.1386L/abstract

New Sparse Adaptive Algorithms Based on the Natural Gradient and the ${L}_{0}$-Norm

Authors: Pelekanakis, K. Chitre, M. TROPICAL MARINE SCIENCE INSTITUTE et al.

Contributors: Pelekanakis, K. Chitre, M. TROPICAL MARINE SCIENCE INSTITUTE et al.

Source: IEEE Journal of Oceanic Engineering. 38:323-332

Subject Terms: underwater acoustic communications, 4. Education, 02 engineering and technology, Acoustic echo cancellation, sparse recursive least squares (RLS), 01 natural sciences, {L} 1-RRLS, sparse equalization, proportionate algorithms, 0103 physical sciences, improved-proportionate affine projection algorithm (IPAPA), 0202 electrical engineering, electronic engineering, information engineering, improved- proportionate normalized least mean square (IPNLMS), L0-norm

Access URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365766
https://ui.adsabs.harvard.edu/abs/2013IJOE...38..323P/abstract

Direct adaptive equalization based on fast sparse recursive least squares algorithms for multiple-input multiple-output underwater acoustic communications.

Authors: Qin, Zhen Tao, Jun Wang, Xiaoyan et al.

Source: Journal of the Acoustical Society of America; Apr2019, Vol. 145 Issue 4, pEL277-EL283, 7p

Subject Terms: UNDERWATER acoustic communication, LEAST squares, MIMO systems, ADAPTIVE equalization, UNDERWATER acoustics

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

Authors: Lei Wang Kaizhe Nie Zohaib Ahmad et al.

Source: Neural Networks. 118:32-42

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

Access 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

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

Authors: Liu, Lu Sun, Dajun Zhang, Youwen

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

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

Kernel recursive least squares dictionary learning algorithm

Authors: Alipoor, Ghasem Skretting, Karl

Availability: https://hdl.handle.net/11250/3105715

Recursive regularisation parameter selection for sparse RLS algorithm.

Authors: Dajun Sun Lu Liu Youwen Zhang

Source: Electronics Letters (Wiley-Blackwell). 3/8/2018, Vol. 54 Issue 5, p286-287. 2p.

Subject Terms: *LEAST squares, *CONVEX functions, *MEAN square algorithms, *REAL variables, *ALGORITHMS

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

Authors: Junseok Lim Keunhwa Lee Seokjin Lee

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/d80f4a16eb454367896376841a70d510

Virtual Space-Time DiversityTurbo Equalization Using Cluster Sparse Proportional Recursive Least Squares Algorithm for Underwater Acoustic Communications

Authors: Zhen Han Weiliang Tao Dan Zhang et al.

Source: Applied Sciences, Vol 13, Iss 19, p 11050 (2023)

Subject Terms: underwater acoustic communications, turbo equalization, PRLS, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/19/11050; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/8012d8f8ca384361b5e5d867d2646094

Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification

Authors: Bowen Li Suya Wu Erin E. Tripp et al.

Source: IEEE Access, Vol 12, Pp 66993-67004 (2024)

Subject Terms: Adaptive filtering, EM algorithm, minimax concave penalty (MCP), sparse system identification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10522635/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/e8aeca71fe894c4682fb194eaad8cd7a

Kernel Recursive Leastsquares Algorithm with Slidingwindow Approximately Linear Dependence Sparsification

Authors: CHEN Xujun,ZHU Yufang,HU Junhong,MA Deyu

Source: Jisuanji gongcheng, Vol 42, Iss 8, Pp 64-68 (2016)

Subject Terms: kernel recursive least-squares(krls) algorithm, sparse representation, approximately linear dependence(ald), sliding-window, kernel matrix, gauss kernel function, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/201608012.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/35b96ddabf344ea1932ffa52a847d38f

A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems

Authors: Xinyu Guo Shifeng Ou Menghua Jiang et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/22901a3be8314f639bb8e2b095760a6c

Sparse direct adaptive equalization based on proportionate recursive least squares algorithm for multiple-input multiple-output underwater acoustic communications.

Authors: Qin Z Tao J Han X

Source: The Journal of the Acoustical Society of America [J Acoust Soc Am] 2020 Oct; Vol. 148 (4), pp. 2280.

Publication Type: Journal Article

Journal Info: Publisher: American Institute of Physics Country of Publication: United States NLM ID: 7503051 Publication Model: Print Cited Medium: Internet ISSN: 1520-8524 (Electronic) Linking ISSN: 00014966 NLM ISO Abbreviation: J Acoust Soc Am Subsets: PubMed not MEDLINE; MEDLINE

Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems

Authors: Xingxing Ai Jiayi Zhao Hongtao Zhang et al.

Source: Sensors, Vol 22, Iss 16, p 6248 (2022)

Subject Terms: channel prediction, time-varying channels, MIMO system, kernel methods, recursive least squares, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/16/6248; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/2ef7449b32a343ef9f4f381a0f2afa31

A New Penalized Recursive Least Squares Method With a Variable Regularization Factor for Adaptive Sparse Filtering

Authors: Zhou Fan Li Dan Li Jian Qiu Zhang

Source: IEEE Access, Vol 6, Pp 31828-31839 (2018)

Subject Terms: Adaptive filtering, minimum-disturbance constraint, penalized RLS, sparsity, variable regularization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/8374408/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/8b33a412f01e4dee80941e7b05424415

Low-Complexity Recursive-Least-Squares-Based Online Nonnegative Matrix Factorization Algorithm for Audio Source Separation

Authors: Seokjin LEE

Source: IEICE Transactions on Information and Systems. 2017, E100.D(5):1152

Quantized Kernel Recursive Least Squares Algorithm.

Authors: Badong Chen Songlin Zhao Pingping Zhu et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Sep2013, Vol. 24 Issue 9, p1484-1491, 8p

Subject Terms: KERNEL (Mathematics), LEAST squares, ALGORITHMS, QUANTIZATION (Physics), MONTE Carlo method