Data of novel features and FS_DT-SSVM

Name: Data of novel features and FS_DT-SSVM
Creator: College of Information and Communication Engineering, Harbin Engineering University
Published: 2019-12-03T00:00:00+08:00

IEEE2019-12-03 更新2026-04-17 收录

自动调制分类

特征提取算法

数据链接：

https://ieee-dataport.org/documents/data-novel-features-and-fsdt-ssvm 数据链接链接失效反馈

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资源简介：

This dataset has 11 sets of feature data extracted with different signal-to-noise and a set of simulation results of modulation classification. Feature dataset consists of 2 novel features and 15 classic features, and dataset of simulation results represents the effectiveness of FS_DT-SSVM classifier. These data match the experimental data of the paper “Automatic Modulation Classification Based on Novel Feature Extraction Algorithms”.

提供机构：

College of Information and Communication Engineering, Harbin Engineering University

创建时间：

2019-12-03

Data of novel features and FS_DT-SSVM

资源简介：

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