Synthetic Digitally Modulated Signal Datasets for Automatic Modulation Classification

Synthetic Digitally Modulated Signal Datasets for Automatic Modulation Classification contain CSPB.ML.2018 and CSPB.ML.2022, two high-quality communication signal datasets with eight modulation types: BPSK, QPSK, 8-PSK, pi/4-DQPSK, MSK, 16-QAM, 64-QAM, and 256-QAM. There are 14,000 signals of each modulation type in each dataset for a total of 112,000 signals per dataset. The two datasets are useful for signal processing testing, neural network (NN) training, initial NN testing, and out-of-distribution NN testing as signal generation parameters differ between the two datasets. Extensive testing has been performed on each signal in both datasets to prove their high caliber. The CSPB.ML.2018 and CSPB.ML.2022 datasets were originally posted to the CSP Blog, and are still available there (see the above link "Datasets for the Machine Learning Challenge"). Further detailed descriptions of both datasets are available on the CSP Blog, along with analysis results and various comments from readers.

合成数字调制信号数据集用于自动调制分类，包含CSPB.ML.2018和CSPB.ML.2022两个高质量通信信号数据集，涵盖八种调制类型：BPSK、QPSK、8-PSK、π/4-DQPSK、MSK、16-QAM、64-QAM和256-QAM。每个数据集中每种调制类型包含14,000个信号，总计每个数据集112,000个信号。这两个数据集适用于信号处理测试、神经网络（NN）训练、初始NN测试以及分布外NN测试，因为两个数据集中的信号生成参数存在差异。对两个数据集中的每个信号均进行了广泛的测试，以证明其卓越的品质。CSPB.ML.2018和CSPB.ML.2022数据集最初发布于CSP Blog，并仍可在该博客上找到（参见上述链接“机器学习挑战赛数据集”）。关于这两个数据集的详细描述、分析结果以及读者的各种评论均可在CSP Blog上查阅。

搜集汇总

背景与挑战

背景概述

该数据集包含两个高质量的数字调制信号数据集（CSPB.ML.2018和CSPB.ML.2022），每个数据集涵盖8种调制类型，每种类型有14,000个信号，总计224,000个信号。数据集适用于信号处理测试和神经网络训练，特别适合分布外测试，因为两个数据集的信号生成参数不同。数据集以.tim和.txt格式存储，并附有MATLAB脚本示例。