高斯波包，也被称为时空域高斯束（space－timeGaussian beam），是波动方程的一种高频渐进解。
探讨了一维均匀紧束缚环模型中高斯波包的时间演化规律。
The paper investigates the time evolution of a Gaussian wave packet in a tight-binding ring model with uniform nearest-neighbor hopping integral.
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.
本文将小波包变换用于非高斯噪声统计特性的研究，提出一种新的非高斯分布噪声下的信号检测算法。
In the dissertation, it puts wavelet-packet decomposition into the study on non-gaussian noise. It offers a new signal dection method under non-gaussian noise backgroud.
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