Underwater Spectrum Sensing Dataset with Symmetric-\u03b1-Stable and \u03b1-Sub-Gaussian Noise for Deep Learning-Based Detection
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/underwater-spectrum-sensing-dataset-symmetric-stable-and-sub-gaussian-noise-deep-learning
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资源简介：
This dataset provides simulated data used for evaluating spectrum sensing performance in underwater cognitive networks under different noise conditions: Symmetric-\u03b1-Stable (S\u03b1S), \u03b1-Sub-Gaussian (\u03b1SG), and Additive White Gaussian Noise (AWGN).Each dataset is designed to evaluate robust signal detection techniques, including traditional detectors and deep learning-based models, under impulsive and temporally correlated noise conditions.
提供机构：
Rausley A. A. de Souza; Luiz G. B. Guedes; Pedro M. R. Pereira; Felipe A. P. de Figueiredo
