Details

Autor(en) / Beteiligte

• Zhu, Mengkai
• Zhang, Xu
• Xue, Bing
• Sun, Hongchun

Titel

A Self-adaptive Algorithm for Solving Basis Pursuit Denoising Problem

Ist Teil von

• International journal of advanced computer science & applications, 2021, Vol.12 (6)

Ort / Verlag

West Yorkshire: Science and Information (SAI) Organization Limited

Erscheinungsjahr

2021

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• In this paper, we further consider a method for solving the basis pursuit denoising problem (BPDP), which has received considerable attention in signal processing and statistical inference. To this end, a new self-adaptive algorithm is proposed, its global convergence results is established. Furthermore, we also show that the method is sublinearly convergent rate of O( 1/k). Finally, the availability of given method is shown via somek numerical examples.