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Modulation classifiers based on orthogonal transform and cyclostationarity feature detection

机译:基于正交变换和循环平稳性特征检测的调制分类器

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This paper describes perspective methods for the modulation recognition in HF and VHF bands. Automatic modulation recognition is rapidly evolving signal analysis area. The modern systems of signal processing can utilize cyclostationary feature detection. This paper provides the brief description of time domain key descriptor — cyclic autocorrelation function and frequency domain key descriptor — spectral correlation density function of cyclostationary signals and this paper describes the use of orthogonal transforms for the digital modulation recognition.
机译:本文介绍了用于HF和VHF频段的调制识别的透视方法。自动调制识别是迅速发展的信号分析领域。现代的信号处理系统可以利用循环平稳特征检测。本文简要介绍了循环平稳信号的时域关键描述符-循环自相关函数和频域关键描述符-频谱相关密度函数,并介绍了正交变换在数字调制识别中的应用。

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