统计算法在解决周期信号、高能噪声和高斯信号方面有独特之处，能简单有效提取以上噪声的特征；
The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high-energy noise and some non-Gauss noise simply and effectively;
利用类似设计原则，将来可以制造出强力对抗电子噪声和不可靠电子元件、同时保持高能效的电路。
Circuits built with similar design principles in the future can be made robust to electronic noise and unreliable electronic components while remaining highly energy efficient.
对声激励的高能量区、燃烧噪声主峰以及一些重要的离散频率分量进行了分析和识别。
The high energy range of acoustic excitation, the peaks of combustion noise and major discrete frequencies are identified.
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