Hermite-Gaussian Beams Classification based on 1D Speckle Information using 1D Convolutional Neural Network

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DC Field	Value	Language
dc.contributor.author	Purnesh Singh, Vijay Kumar	-
dc.date.accessioned	2024-10-10T05:22:36Z	-
dc.date.available	2024-10-10T05:22:36Z	-
dc.date.issued	2022	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1079	-
dc.description.abstract	Classification of Hermite-Gaussian modes using a randomly picked 1D cross-line array across the 2D speckle pattern of the respective modes is proposed. Less than one-by-thousandth of the image data is utilized for classification. © 2022 The Author(s)	en_US
dc.description.sponsorship	NITW	en_US
dc.language.iso	en	en_US
dc.subject	Hermite-Gaussian Beams	en_US
dc.subject	1D Speckle	en_US
dc.subject	1D Convolutional Neural Network	en_US
dc.subject	Neural Network	en_US
dc.title	Hermite-Gaussian Beams Classification based on 1D Speckle Information using 1D Convolutional Neural Network	en_US
dc.type	Other	en_US
Appears in Collections:	Physics

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