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Optimization of the Brillouin instantaneous frequency measurement using convolutional neural networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-snapshot
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/j.neunet.2013.06.011openalex-snapshot
Universal approximation by radial basis function networks of Delsarte translates
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/s41377-019-0176-4openalex-snapshot
Deep-learning-powered photonic analog-to-digital conversion
inferredcites →https://doi.org/10.1038/s41566-018-0265-6openalex-snapshot
Intelligent learning with light
inferredcites →https://doi.org/10.1109/icoiact46704.2019openalex-snapshot
2019 International Conference on Information and Communications Technology (ICOIACT)
inferredcites →https://doi.org/10.1109/jlt.2008.927160openalex-snapshot
Impact of Nonlinear Transfer Function and Imperfect Splitting Ratio of MZM on Optical Up-Conversion Employing Double Sideband With Carrier Suppression Modulation
inferredcites →https://doi.org/10.1109/jlt.2011.2136322openalex-snapshot
Analysis and Control of the DC Drift in LiNbO3Based Mach–Zehnder Modulators
inferredcites →https://doi.org/10.1109/jlt.2014.2366998openalex-snapshot
Dynamically Reconfigurable All Optical Frequency Measurement System
inferredcites →https://doi.org/10.1109/lpt.2009.2022637openalex-snapshot
Instantaneous Microwave Frequency Measurement Using Photonic Technique
inferredcites →https://doi.org/10.1109/tmi.2016.2535865openalex-snapshot
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tmtt.2014.2341624openalex-snapshot
Improved Dynamic Range Microwave Photonic Instantaneous Frequency Measurement Based on Four-Wave Mixing
inferredcites →https://doi.org/10.1364/oe.25.002206openalex-snapshot
Broadband instantaneous frequency measurement based on stimulated Brillouin scattering
inferredcites →https://doi.org/10.1364/ol.44.002045openalex-snapshot
Brillouin instantaneous frequency measurement with an arbitrary response for potential real-time implementation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4655602openalex-extracted
Photonics-Assisted Simultaneous Frequency and Angle-of-Arrival Measurement of Multiple Targets Using Parameter Mapping Method
inferred← citeshttps://doi.org/10.1007/978-3-030-90196-7_42openalex-snapshot
Artificial Neural Network Assisted Mitigation of Cross-modulation Distortion in Microwave Photonics Link
inferred← citeshttps://doi.org/10.1007/s11432-020-2863-yopenalex-snapshot
Towards an intelligent photonic system
inferred← citeshttps://doi.org/10.1007/s12596-025-02561-6openalex-snapshot
Optical coherence tomography retinal classification using deep neural network
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e30958openalex-snapshot
Optical frequency multiplication using residual network with random forest regression
inferred← citeshttps://doi.org/10.1016/j.optcom.2024.130401openalex-snapshot
Photonics-assisted simultaneous frequency and angle-of-arrival measurement using parameter mapping method
inferred← citeshttps://doi.org/10.1070/qel17660openalex-snapshot
Functional flexible photonics-assisted frequency measurement based on combination of stimulated Brillouin scattering and a Mach – Zehnder interferometer
inferred← citeshttps://doi.org/10.1109/acp/ipoc63121.2024.10809780openalex-snapshot
Information Extraction of FMCW Laser Ranging Based on ResNet-BiGRU
inferred← citeshttps://doi.org/10.1109/acp/poem59049.2023.10369928openalex-snapshot
Denoising Convolutional Neural Network for Wideband Frequency Modulation Signals Based on Microwave Photonic Down-Conversion
inferred← citeshttps://doi.org/10.1109/jlt.2022.3227943openalex-snapshot
Microwave Photonic Reconfigurable High Precision Instantaneous Frequency Measurement System Assisted by Stacking Ensemble Learning Method
inferred← citeshttps://doi.org/10.1109/jlt.2026.3717748openalex-snapshot
Fisher-Information-Enhanced BOTDR Using Beat Spectral Reshaping
inferred← citeshttps://doi.org/10.1109/jphot.2022.3186670openalex-snapshot
Power-Independent Microwave Instantaneous Frequency Measurement Based on Combination of Brillouin Gain and Loss Spectra
inferred← citeshttps://doi.org/10.1109/lpt.2021.3128867openalex-snapshot
Adaptive Photonic Microwave Instantaneous Frequency Estimation Using Machine Learning
inferred← citeshttps://doi.org/10.1109/tim.2023.3256465openalex-snapshot
Microwave Frequency Measurement System Using Fixed Low Frequency Detection Based on Photonic Assisted Brillouin Technique
inferred← citeshttps://doi.org/10.1155/2022/6327479openalex-snapshot
High‐Efficiency Mitigation of Nonlinear Distortion in Microwave Photonics Link Assisted by Artificial Neural Network
inferred← citeshttps://doi.org/10.1364/ao.454422openalex-snapshot
Enhanced performance of a reservoir computing system based on a dual-loop optoelectronic oscillator
inferred← citeshttps://doi.org/10.1364/ao.519402openalex-snapshot
Microwave photonics frequency measurement with improved accuracy based on an artificial neural network
inferred← citeshttps://doi.org/10.1364/josab.414422openalex-snapshot
Adaptive deep-learning algorithm for signal recovery of broadband microwave photonic receiving systems based on supervised training
inferred← citeshttps://doi.org/10.1364/oe.413897openalex-snapshot
Photonic analog-to-digital converter powered by a generalized and robust convolutional recurrent autoencoder
inferred← citeshttps://doi.org/10.1364/oe.429904openalex-snapshot
Accuracy enhanced microwave frequency measurement based on the machine learning technique
inferred← citeshttps://doi.org/10.1364/oe.561413openalex-snapshot
Wideband High-Accuracy Microwave Frequency Measurement and Recognition Enabled by Stimulated Brillouin Scattering
inferred← citeshttps://doi.org/10.1364/ol.391883openalex-snapshot
Deep neural network-assisted high-accuracy microwave instantaneous frequency measurement with a photonic scanning receiver
inferred← citeshttps://doi.org/10.1364/ol.446000openalex-snapshot
Deep-learning-based time–frequency domain signal recovery for fiber-connected radar networks
inferred← citeshttps://doi.org/10.1364/ol.459524openalex-snapshot
Ultrabroad Brillouin instantaneous frequency measurement with a designed linear system response
inferred← citeshttps://doi.org/10.3390/s24051489openalex-snapshot
Machine-Learning-Assisted Instantaneous Frequency Measurement Method Based on Thin-Film Lithium Niobate on an Insulator Phase Modulator for Radar Detection
inferred← citeshttps://doi.org/10.3390/s25123611openalex-snapshot
Recent Advances in Multitone Microwave Frequency Measurement
inferred← citeshttps://doi.org/10.3788/col202624.053902openalex-snapshot
Deep-learning-based angle-of-arrival estimation using microwave photonic down-conversion without calibration
inferred← citeshttps://doi.org/10.48550/arxiv.2006.13443openalex-snapshot
Hardware-irrelevant parallel processing system
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