Sparse signal recovery from noisy measurements via searching forward OMP

Quan Sun, Fei Yun Wu, Kunde Yang, Chunlong Huang

科研成果: 期刊稿件快报同行评审

8 引用 (Scopus)

摘要

Recovering sparse signals from compressed measurements has received much attention in recent years. Considering that measurement errors always exist, an improved orthogonal matching pursuit (OMP) method which is called Searching Forward OMP (SFOMP), is proposed in this letter. The proposed SFOMP method is designed for compressive sensing and sparse signal recovery in the noisy environment. To improve the recovery performance, the SFOMP method incorporates a searching forward strategy to find the column leading to a minimum norm of residual error among the added candidates in each iteration. Numerical results show that, compared with other commonly used methods, this method provides a higher recovery signal-to-noise ratio, more accurate reconstruction of support set, and a competitive computational complexity with noisy measurements.

源语言英语
页(从-至)124-126
页数3
期刊Electronics Letters
58
3
DOI
出版状态已出版 - 2月 2022

指纹

探究 'Sparse signal recovery from noisy measurements via searching forward OMP' 的科研主题。它们共同构成独一无二的指纹。

引用此