English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The reconstruction algorithm in theory of compressed sensing(CS)is an important part of compression perception theory.Under the unknown condition of the sparse degree,some reconstruction algorithms perform poorly.To solve this problem,a kind of orthogonal matching pursuit algorithm based on double threshold was put forward.Under the unknown condition of the sparse degree,the twice screening for the selected atoms can have high efficiency and high quality reconstruction image signal.The proposed algorithm can effectively reconstruct signals through experimental comparison with other algorithms.The proposed algorithm in this paper has higher reconstruction precision and has shorter running time.

双阈值正交匹配追踪算法 (Double Threshold Orthogonal Matching Pursuit Algorithm).