2026-10-12T20:21:58Z https://www.scidb.cn/oai

10.57760/sciencedb.space.03653 2026-06-16T15:19:45Z

2026-06-16 Supporting Figures and Experimental Results for “Signal-Quality-Aware Multimodal Fusion for Automatic Modulation Recognition” doi:10.57760/sciencedb.space.03653 en This dataset contains the supporting figures and derived experimental result files used in the manuscript “Signal-Quality-Aware Multimodal Fusion for Automatic Modulation Recognition”. The materials include performance comparison figures, ablation study figures, robustness analysis results under different signal quality conditions, confusion matrices, and visual illustrations related to the proposed signal-quality-aware multimodal fusion framework for automatic modulation recognition. The experimental results are derived from the RadioML.2016.10A benchmark under an eleven-class modulation recognition setting. The uploaded files are intended to support manuscript review, result verification, and figure reproduction. The original RadioML dataset is not redistributed in this package, and no personal or sensitive information is included. modulation recognition; multimodal fusion; RadioML 刘珮奇 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank