2024
DOI: 10.1002/lpor.202400376
|View full text |Cite
|
Sign up to set email alerts
|

All‐Optical Physical Field Recognition Via Sparse Feature Extraction

Haotong Qi,
Jianyang Hu,
Chang Li
et al.

Abstract: Optical computing has been proven to have the ability to process information with ultra‐high speed. Here, an all‐optical feature extraction system via sparse representation (AFE‐SR) is introduced. The AFE‐SR, which is achieved by multiple diffractive optical elements (DOEs), can realize the recognition of generated physical fields with the speed of light. The sparse representation simplifies the target and improves the recognition accuracy. With the mathematical analysis principle of sparse optical features ex… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 48 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?