Advanced search

Browse by subject

Browse by provider

Browse by language

Content Details
Normal View
CIP View

Stable Cosparse Recovery via \ell_p-anal...

Zhang, Shubao...

Free

Share this content

Stable Cosparse Recovery via \ell_p-analysis Optimization by Zhang, Shubao ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	06-09-2023
Summary	In this paper we study the $\ell_p$-analysis optimization ($0<p\leq1$) problem for cosparse signal recovery. We establish a bound for recovery error via the restricted $p$-isometry property over any subspace. We further prove that the nonconvex $\ell_q$-analysis optimization can do recovery with a lower sample complexity and in a wider range of cosparsity than its convex counterpart. In addition, we develop an iteratively reweighted method to solve the optimization problem under a variational framework. Empirical results of preliminary computational experiments illustrate that the nonconvex method outperforms its convex counterpart.
ISBN	-
Item Type	Article
File Type	pdf
File Size	29.34 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/1409.4575

Citation

Review the full bibliography data and make any necessary corrections before using. Always consult your library resources for the exact formatting and punctuation guidelines.

AMA 11th EditionReferences

Zhang, Shubao. Stable Cosparse Recovery via \ell_p-analysis Optimization. Australian National University. September 06, 2023. Accessed November 13, 2024. https://online.provdatabase.com/cite/23550

APA 7th EditionReferences

Zhang, Shubao. (2023). Stable Cosparse Recovery via \ell_p-analysis Optimization. Australian National University. https://online.provdatabase.com/cite/23550

Chicago 17th EditionReferences

Zhang, Shubao. Stable Cosparse Recovery via \ell_p-analysis Optimization. Australian National University. 2023. https://online.provdatabase.com/cite/23550

HarvardReferences

Zhang, Shubao. (2023). Stable Cosparse Recovery via \ell_p-analysis Optimization. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/23550. (Accessed 13 November 2024).

Harvard AustraliaReferences

Zhang, Shubao, 2023, Stable Cosparse Recovery via \ell_p-analysis Optimization, Australian National University, viewed 13 November 2024, <https://online.provdatabase.com/cite/23550>

MLA 9th EditionWorks Cited

Zhang, Shubao. Stable Cosparse Recovery via \ell_p-analysis Optimization. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/23550.

Share this eBook