RADIOML 2018.01A

该数据集名为RML2016.19a，包含了22万个输入样本，这些样本对应着不同信噪比水平下的多种调制方案。该数据集涵盖了11种调制类别，并为从-20dB到18dB的20个不同信噪比水平生成了样本，每个样本具有256个维度（其中128个是同相分量，128个是正交分量）。整个数据集共有220,000个样本，其任务是进行调制分类。

The dataset named RML2016.19a contains 220,000 input samples, which correspond to diverse modulation schemes across varying signal-to-noise ratio (SNR) levels. It encompasses 11 modulation categories, and generates samples for 20 distinct SNR levels ranging from -20 dB to 18 dB. Each sample has 256 dimensions, 128 of which are in-phase components and the remaining 128 are quadrature components. In total, this dataset comprises 220,000 samples, and its targeted task is modulation classification.

搜集汇总

背景与挑战

背景概述

RADIOML 2018.01A是一个包含24种调制类型的合成数据集，用于早期调制识别研究，数据以HDF5格式存储，包含200万个示例。