以一类非高斯噪声———双模噪声为背景噪声,利用小波包变换良好的时频分析能力,对双模噪声的统计特性进行了研究,在此基础上,将经典最优检测器的结论推广到背景噪声为双模噪声的情况,提出了基于小波包变换的双模噪声中信号的检测方法。他是对传统的双模噪声中信号处理的完善与补充,仿真结果表明,该方法要明显优于经典检测。 Taking a class of non-Gaussian noise --- dual-mode noise as background noise, the statistical properties of dual-mode noise are studied by using the good time-frequency analysis ability of wavelet packet transform. On this basis, the classical optimal detector Conclusion The generalization of the background noise to dual-mode noise is proposed. The detection method of signal in dual-mode noise based on wavelet packet transform is proposed. He completes and complements the traditional dual-mode noise signal processing, the simulation results show that this method is obviously superior to the classical detection.