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Ensemble learning of diffractive optical networks. [PDF]
A plethora of research advances have emerged in the fields of optics and photonics that benefit from harnessing the power of machine learning. Specifically, there has been a revival of interest in optical computing hardware due to its potential ...
Rahman MSS+4 more
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Optical networks play a crucial role in todays digital topography, enabling the high-speed and reliable transmission of vast amounts of data over optical fibre for long distances.
Varsha Lohani+5 more
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Optical Communications and Networks [PDF]
As the second issue in 2020 of the Optical Communications and Networks Series (OCNS), this series selects articles that cover interesting advances on devices, systems and networks regarding optical communications and networking. We are pleased to witness active innovations in this area, which will make the data exchange and processing in the future ...
ZhuZuqing, LiuXiang, AlouiniMohamed-Slim
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An LDPC Encoder Architecture With Up to 47.5 Gbps Throughput for DVB-S2/S2X Standards
Low-Density Parity-Check (LDPC) code is a type of forward error-correction code with excellent performance, and has been widely used in many modern communication standards. The second-generation satellite broadcasting standard (DVB-S2) and its extension (
Decai Liu+7 more
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Digital Subcarrier Multiplexing: Enabling Software-Configurable Optical Networks
The various topologies, traffic patterns and cost targets of optical networks have prevented the deployment of end-to-end solutions across multi-domains, and the optimization of the network as a whole.
D. Welch+38 more
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Point-to-Multipoint Optical Networks Using Coherent Digital Subcarriers
A paradigm shift in optical communication networks is proposed, with the introduction of a new ecosystem of devices and components with the capability of transforming current point-to-point optical networks (with their entailed, limiting, electrical ...
D. Welch+17 more
semanticscholar +1 more source
Scale-, shift- and rotation-invariant diffractive optical networks [PDF]
Recent research efforts in optical computing have gravitated towards developing optical neural networks that aim to benefit from the processing speed and parallelism of optics/photonics in machine learning applications. Among these endeavors, Diffractive
Deniz Mengu, Y. Rivenson, A. Ozcan
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Quantum Key Distribution Secured Optical Networks: A Survey
Increasing incidents of cyber attacks and evolution of quantum computing poses challenges to secure existing information and communication technologies infrastructure.
Purva Sharma+4 more
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Controlling and Monitoring Optical Network Equipment in Optical SDN Networks [PDF]
Grant numbers : AURORAS - Autonomic and disaggregated optical networks leveraging edge computing and photonic technologies (RTI2018-099178-B-I00).
Vilalta, Ricard+6 more
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FlowNet: Learning Optical Flow with Convolutional Networks [PDF]
Convolutional neural networks (CNNs) have recently been very successful in a variety of computer vision tasks, especially on those linked to recognition. Optical flow estimation has not been among the tasks CNNs succeeded at.
Alexey Dosovitskiy+8 more
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