The demand for bandwidth-critical applications has stimulated the research community not
only to develop new ways of communication, but also to use the existing spectrum efficiently …

针对传统降噪算法损伤高信噪比(SNR) 信号而造成信号识别准确率下降的问题,
该文提出基于卷积神经网络的信噪比分类算法, 该算法利用卷积神经网络对信号进行特征提取 …

Considering the problem that the traditional noise reduction algorithm damages the high
Signal-to-Noise Ratio (SNR) signal and reduces the accuracy of signal recognition, a SNR …

针对复杂环境非合作通信模式下, 识别调制方式运算复杂度高, 识别率低的问题,
提出一种基于时频分析的自适应特征提取识别算法. 该算法结合二阶四阶矩估计法 …

Automatic modulation classification (AMC) is a key component of intelligent communication
systems used in various military and cognitive radio applications. In AMC, it is desired to …

基于深度学习网络的自动调制分类(Automatic Modulation Classification, AMC)
方法虽然对大多数通信调制信号能够取得满意的分类效果, 但对WBFM (Wide Band Frequency …

Radar electronic reconnaissance is an important part of modern and future electronic
warfare systems and is the primary method to obtain non-cooperative intelligence …

Untitled Page 1 Page 2 PERFORMANCE ANALYSIS OF HIGHER-ORDER STATISTICAL
FEATURES IN CLASSIFICATION OF SOME MODULATION TYPES A THESIS SUBMITTED …

The automatic modulation classification (AMC) is highly important to develop intelligent
receivers in different military and civilian applications including signal intelligence, spectrum …

High-Order Cumulants (HOCs) is widely used as the feature in automatic modulation
classification (AMC) for it has the outstanding resiliency to noise. However, traditional works …