Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106164
DC Field | Value | Language |
---|---|---|
dc.contributor | Photonics Research Institute | en_US |
dc.contributor | Department of Electrical and Electronic Engineering | en_US |
dc.creator | Peng, Y | en_US |
dc.creator | Xiao, Y | en_US |
dc.creator | Chen, W | en_US |
dc.date.accessioned | 2024-05-03T00:45:34Z | - |
dc.date.available | 2024-05-03T00:45:34Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/106164 | - |
dc.language.iso | en | en_US |
dc.publisher | Optical Society of America | en_US |
dc.rights | © 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement (https://opg.optica.org/library/license_v2.cfm#VOR-OA). Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved. | en_US |
dc.rights | Journal © 2023 | en_US |
dc.rights | The following publication Yang Peng, Yin Xiao, and Wen Chen, "High-fidelity and high-robustness free-space ghost transmission in complex media with coherent light source using physics-driven untrained neural network," Opt. Express 31, 30735-30749 (2023) is available at https://dx.doi.org/10.1364/OE.498073. | en_US |
dc.title | High-fidelity and high-robustness free-space ghost transmission in complex media with coherent light source using physics-driven untrained neural network | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 30735 | en_US |
dc.identifier.epage | 30749 | en_US |
dc.identifier.volume | 31 | en_US |
dc.identifier.issue | 19 | en_US |
dc.identifier.doi | 10.1364/OE.498073 | en_US |
dcterms.abstract | It is well recognized that it is challenging to realize high-fidelity and high-robustness ghost transmission through complex media in free space using coherent light source. In this paper, we report a new method to realize high-fidelity and high-robustness ghost transmission through complex media by generating random amplitude-only patterns as 2D information carriers using physics-driven untrained neural network (UNN). The random patterns are generated to encode analog signals (i.e., ghost) without any training datasets and labeled data, and are used as information carriers in a free-space optical channel. Coherent light source modulated by the random patterns propagates through complex media, and a single-pixel detector is utilized to collect light intensities at the receiving end. A series of optical experiments have been conducted to verify the proposed approach. Experimental results demonstrate that the proposed method can realize high-fidelity and high-robustness analog-signal (ghost) transmission in complex environments, e.g., around a corner, or dynamic and turbid water. The proposed approach using the designed physics-driven UNN could open an avenue for high-fidelity free-space ghost transmission through complex media. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Optics express, 11 Sept 2023, v. 31, no. 19, 498073, p. 30735-30749 | en_US |
dcterms.isPartOf | Optics express | en_US |
dcterms.issued | 2023-09-11 | - |
dc.identifier.isi | WOS:001080799200001 | - |
dc.identifier.eissn | 1094-4087 | en_US |
dc.identifier.artn | 498073 | en_US |
dc.description.validate | 202405 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Guangdong Basic and Applied Basic Research Foundation | en_US |
dc.description.fundingText | Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | VoR allowed | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
---|---|---|---|---|
oe-31-19-30735.pdf | 3.85 MB | Adobe PDF | View/Open |
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