Synthetic LoRa Signals - Training Dataset
收藏arXiv2025-09-30 收录
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该数据集包含了在不同信噪比（SNR）水平下生成的合成LoRa信号，旨在用于训练神经网络分类器。该数据集涵盖了从0到20分贝的10个不同的SNR水平，每个18种配置下生成了50个信号文件，总计包含9000个条目。其任务是对信号进行分类。
This dataset contains synthetic LoRa signals generated at varying signal-to-noise ratio (SNR) levels, and is designed for training neural network classifiers. It covers 10 distinct SNR levels ranging from 0 to 20 decibels, with 50 signal files generated under each of the 18 configurations, resulting in a total of 9000 entries. The corresponding task is signal classification.
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