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机译:多径衰落信道中基于累积量的调制分类技术
Dept. of Commun. Eng., Nat. Central Univ., Jhongli, Taiwan;
Gaussian channels; Gaussian noise; channel estimation; fading channels; higher order statistics; multipath channels; phase shift keying; probability; quadrature amplitude modulation; signal classification; white noise; AMC method; AMC performance; M-PSK; M-QAM; automatic modulation classification; channel impulse response; correct-classification probability; cumulant-based modulation classification technique; ideal white Gaussian noise channel; modified blind channel estimation method; modulation type; multipath fading channels; multipath fading effects; normalised fourth-order cumulant statistics; received signal; signal classification field; wireless channels;
机译:使用六阶累积量和堆叠卷积自动编码器的多径衰落信道中的调制分类
机译:通过期望最大化的多径衰落信道合作调制分类
机译:使用深度机器学习的多径衰落信道中的联合调制格式/比特率分类和信噪比估计
机译:平坦瑞利衰落信道下基于合作累积量的调制分类
机译:多径衰落信道上的调制识别。
机译:使用稀疏贝叶斯学习探索多径衰落的鲁棒性以进行放射断层成像中的拉普拉斯先验
机译:使用深度机器学习的多径衰落信道中的联合调制格式/比特率分类和信噪比估计