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- W3084227064 abstract "A convolutional neural network (CNN)-based deep learning technique is proposed to implement recognition of optical modulation formats. CNN is used to implement an intelligent eye diagram analyzer using which modulation format recognition (MFR) is achieved. CNN can extract and self-learn the features of an image in its raw format. With this ability, CNN is used to process eye diagram images from the perspective of image processing. Signals of six different widely used modulation formats are passed through the noisy channel. At receiver, eye diagram images of signals whose optical signal-to-noise rate (OSNR) ranges from 10 to 25 dB are simulated. The accuracies of MFR achieve 100%. The proposed technique has the potential to be used at receiver side for intelligent signal analysis and optical performance monitoring." @default.
- W3084227064 created "2020-09-14" @default.
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- W3084227064 date "2020-01-01" @default.
- W3084227064 modified "2023-10-18" @default.
- W3084227064 title "Efficient Eye Diagram Analyzer for Optical Modulation Format Recognition Using Deep Learning Technique" @default.
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- W3084227064 doi "https://doi.org/10.1007/978-981-15-5558-9_57" @default.
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