De-noising ghost imaging via principal components analysis and compandor

Research article (Optics and Lasers in Engineering, 2018) · cited 10× · AI/ML
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De-noising ghost imaging via principal components analysis and compandor

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De-noising ghost imaging via principal components analysis and compandor is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). De-noising ghost imaging via principal components analysis and compandor. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-noising-ghost-imaging-via-principal-components-analysis-and-compandor
MLA “De-noising ghost imaging via principal components analysis and compandor.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-noising-ghost-imaging-via-principal-components-analysis-and-compandor.
BibTeX @misc{4ortxyz_de-noising-ghost-imaging-via-principal-components-analysis-and-compandor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{De-noising ghost imaging via principal components analysis and compandor}}, year = {2026}, url = {https://4ort.xyz/entity/de-noising-ghost-imaging-via-principal-components-analysis-and-compandor}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): De-noising ghost imaging via principal components analysis and compandor — https://4ort.xyz/entity/de-noising-ghost-imaging-via-principal-components-analysis-and-compandor (retrieved 2026-05-24)

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