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将小波包变换良好的时频分析能力用于分析双模噪声的统计特性,因为小波包变换具有带通滤波的作用,当分解的层数足够多时,变换可看作窄带系统,将双模噪声作某一尺的小波包变换,在此空间上双模噪声的输出近似于高斯分布,在这一空间上进行信号的识别与检测。将小波包变换用于双模噪声背景下的信号检测系统,并将此方法与经典检测系统进行性能上的比较,仿真结果表明,小波包方法优于经典检测方法。
The good time-frequency analysis capability of wavelet packet transform is used to analyze the statistical properties of dual-mode noise. Because wavelet packet transform has the function of band-pass filtering, when enough layers are decomposed, the transform can be regarded as a narrow-band system, For a certain size wavelet packet transform, the output of the dual-mode noise in this space approximates the Gaussian distribution, in this space for signal identification and detection. The wavelet packet transform is applied to the signal detection system in the background of dual-mode noise. The performance of this method is compared with the classical detection system. The simulation results show that the wavelet packet method is superior to the classical detection method.