$$\ell _1$$ ℓ 1 -regularized recursive total least squares based sparse system identification for the error-in-variables

Jun-seok Lim, Hee-Suk Pang

Open source

DOI: 10.1186/s40064-016-3120-6
Published: 2016-08-31
Container: SpringerPlus
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s40064-016-3120-6,
  title = {\$\$\textbackslash{}ell \_1\$\$ ℓ 1 -regularized recursive total least squares based sparse system identification for the error-in-variables},
  author = {Jun-seok Lim and Hee-Suk Pang},
  year = {2016},
  journal = {SpringerPlus},
  doi = {10.1186/s40064-016-3120-6},
  url = {https://doi.org/10.1186/s40064-016-3120-6}
}

RIS

TY  - JOUR
TI  - $$\ell _1$$ ℓ 1 -regularized recursive total least squares based sparse system identification for the error-in-variables
AU  - Jun-seok Lim
AU  - Hee-Suk Pang
PY  - 2016
JO  - SpringerPlus
DO  - 10.1186/s40064-016-3120-6
UR  - https://doi.org/10.1186/s40064-016-3120-6
ER  -

APA

Lim, J., & Pang, H. (2016). $$\ell _1$$ ℓ 1 -regularized recursive total least squares based sparse system identification for the error-in-variables. SpringerPlus. https://doi.org/10.1186/s40064-016-3120-6

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crossref · retrieved 2026-09-26T23:08:49.972Z