DeepSig Dataset: RadioML 2016.04C A synthetic dataset, generated with GNU Radio, consisting of 11 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios. Check 'Description.pdf' file for more details'
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DeepSig Dataset: RadioML 2016.04C A synthetic dataset, generated with GNU Radio, consisting of 11 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios. Check 'Description.pdf' file for more…
adelmeleka/modulation_classification
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DeepSig Dataset: RadioML 2016.04C A synthetic dataset, generated with GNU Radio, consisting of 11 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios. Check 'Description.pdf' file for more…
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