Wang, Guoqing, Shao, Liyang, Xiao, Dongrui, Zhao, Fang, Shum, Ping, Wang, Chao (2021) A Compressive Sensing Single Pixel Imaging System Using Cascaded Mach-Zehnder Interference Structure. In: 2021 IEEE 6th Optoelectronics Global Conference (OGC). (doi:10.1109/OGC52961.2021.9654292) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:114711)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
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| Official URL: https://doi.org/10.1109/OGC52961.2021.9654292 |
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Abstract
A low-cost compressive sensing single pixel imaging (SPI) system employing cascaded Mach-Zehnder interference (MZI) structure is presented. The cascaded MZI structure is employed to provide the random patterns that required by the compressive sensing approach. A proof-of-principle experiment is performed. A fiber-based low-cost cascaded MZIs as the key devices enable proposed imaging system. Data compression ratios from 6 to 25 are obtained in the proposed system. The proposed design has great potential in solving big data issue and has extensive applications where easy-access and low-cost demanded.
| Item Type: | Conference proceeding |
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| DOI/Identification number: | 10.1109/OGC52961.2021.9654292 |
| Uncontrolled keywords: | Optical fibers;Optical fiber sensors;Data compression;Interference;Big Data;Optical imaging;Ultrafast optics;time stretch;single pixel imaging;compressive sensing;Mach-Zehnder interference |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
There are no former institutional units.
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| Depositing User: | Chao Wang |
| Date Deposited: | 11 May 2026 11:52 UTC |
| Last Modified: | 11 May 2026 11:52 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/114711 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Wang, Chao.
| Creator's ORCID: |
 https://orcid.org/0000-0002-0454-8079
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