The Signal Structure Analysis of Non-Gaussian Noise Based on Wavelet Packet Transform
基于小波包变换的非高斯噪声信号结构分析

By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure. The results of classic optimum detector arc extended to the condition where the distribution of background noise is non-Gaussian and a new signal detection algorithm in non-Gaussian background noise is given. The simulated result justifies this method.