$$\ell _1$$ ℓ 1 -regularized recursive total least squares based sparse system identification for the error-in-variables
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1186/s40064-016-3120-6.pdf
Reference22 articles.
1. Angelosante D, Bazerque J, Giannakis G (2010) Online adaptive estimation of sparse signals: where RLS meets the l1-norm. IEEE Trans Signal Process 58:3436–3447
2. Arablouei R, Werner S, Dogancay K (2014) Analysis of the gradient-decent total least-squares algorithm. IEEE Trans Signal Process 62:1256–1264
3. Arablouei R, Dogancay K, Werner S (2015) Recursive total least-squares algorithm based on inverse power method and dichotomous coordinate-descent iterations. IEEE Trans Signal Process 63:1941–1949
4. Arablouei R (2016) Fast reconstruction algorithm for perturbed compressive sensing based on total least-squares and proximal splitting. Signal Process. doi: 10.1016/j.sigpro.2016.06.009
5. Babadi B, Kalouptsidis N, Tarokh V (2010) SPARLS: the sparse RLS algorithm. IEEE Trans Signal Process 58:4013–4025
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Robust and Regularized Algorithm for Recursive Total Least Squares Estimation;IEEE Control Systems Letters;2024
2. A Modified Recursive Regularization Factor Calculation for Sparse RLS Algorithm with l1-Norm;Mathematics;2021-07-05
3. Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor;Applied Sciences;2019-01-08
4. Time delay estimation based on log-sum and lp-norm penalized minor component analysis;The Journal of the Acoustical Society of America;2018-06
5. Fast ℓ 1 -recursive total least squares algorithm for sparse system identification;Digital Signal Processing;2017-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3