基于小波变换的数字调制信号的特征提取

The Feature Extraction of Digital Modulation Signals Based on Wavelet Transform

主要研究基于小波变换的数字调制信号的特征提取。和傅里叶变换不一样,小波变换是一个很好的时频分析工具。在实际中数字调制信号常常带有噪声(如白噪声等)。首先对ASK、PSK、FSK信号进行小波分析,并对其特征进行提取(幅度、频率和相位等),其次对染噪的数字调制信号进行去噪处理,然后再进行小波分析比较。

The feature extraction of digital modulation signals based on wavelet transform is mainly investigated in this paper. Unlike Fourier transform, the wavelet transform is a better analysis tools both in time domain and frequency domain. Practically, digitally modulated signals are often corrupted by noise （white Gaussian noise）. This paper first analyses the signals about ASK, FSK and PSK with wavelet, to extract their features（amplitude, frequency, phase etc.）; Then it implements noise cancellation process with digitally modulated signals which are corrupted by noise, and gives a wavelet analysis and comparison.