通过各频带的能量分析，才能获得较准确的频率特性，同时也可以得到原始信号的局部特征。

Through the energy analysis of different frequency bands, we can attain the blasting vibration signals' frequency identity and original signals' part character.

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详细说明：图像纹理分析的好的源代码，可以计算纹理的二阶特征：能量，熵，局部稳定性，惯性距，和相关性。

Image texture analysis of good source code can calculate the second-order texture characteristics: energy, entropy, local stability, inertial distance, and relevance.

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该算法不依赖于对噪声方差进行估计，直接利用DCT变换对高频各个子带进行局部特征提取，从而估计噪声能量的估计阈值。

Instead of many algorithms rely on accurate estimation of noise variance, this algorithm estimates noise energy through DCT which extracts local feature.

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