该文利用小波包变换的时频局部分析能力，研究了非高斯分布平稳随机噪声的统计特性，揭示了非高斯噪声信号的信号结构。

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.

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首先对噪声信号进行小波包分解，得到含有待诊断柴油机主轴承间隙故障信息的噪声信号时频分布图，并由此定义图像。

We illustrate the wavelet package analysis that can obtain the time-frequency distribution figure of noise signal, which can be used to define gray-image.

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