Signal eye pattern evaluation method and device, electronic equipment and storage medium
The invention discloses a signal eye pattern evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of signal eye pattern samples to generate a training set, randomly selecting a part of samples in the training set as an ini...
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Format | Patent |
Language | Chinese English |
Published |
23.02.2024
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Abstract | The invention discloses a signal eye pattern evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of signal eye pattern samples to generate a training set, randomly selecting a part of samples in the training set as an initial training set, labeling the label of each sample in the initial training set, and obtaining a plurality of signal eye pattern samples; performing initial training on an LSTM model by using the labeled initial training set, determining an entropy value of each unlabeled sample, selecting a part of unlabeled samples for labeling, performing iterative training on the LSTM model by using the labeled training set until the number of labeling rounds of the training set meets a preset threshold value, and taking the LSTM model as a signal eye pattern evaluation model. And evaluating the target signal eye diagram by using the signal eye diagram evaluation model. According to the technical scheme of the embodiment of th |
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AbstractList | The invention discloses a signal eye pattern evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of signal eye pattern samples to generate a training set, randomly selecting a part of samples in the training set as an initial training set, labeling the label of each sample in the initial training set, and obtaining a plurality of signal eye pattern samples; performing initial training on an LSTM model by using the labeled initial training set, determining an entropy value of each unlabeled sample, selecting a part of unlabeled samples for labeling, performing iterative training on the LSTM model by using the labeled training set until the number of labeling rounds of the training set meets a preset threshold value, and taking the LSTM model as a signal eye pattern evaluation model. And evaluating the target signal eye diagram by using the signal eye diagram evaluation model. According to the technical scheme of the embodiment of th |
Author | HU YUANMING HOU SHAOZHENG QIN XIAONING WANG XUEMEI |
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DocumentTitleAlternate | 一种信号眼图评估方法、装置、电子设备及存储介质 |
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Snippet | The invention discloses a signal eye pattern evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps:... |
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Title | Signal eye pattern evaluation method and device, electronic equipment and storage medium |
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