由于小波变换的时 -频局部化性质 ，使其成为信号处理的强有力工具。
The main characteristic of the WT is the dual localization property in both time domain and frequency domain, which enables WT to be a high performance signal processing technique.
介绍了连续子波变换的定义和性质：基于子波变换在时域和频域的良好局部化性质；
The wavelet transform has favorable localization character in time domain and frequency domain, which is specially applicable in wideband signal.
利用小波分析良好的时频局部化性质，可以很好地对爆破地震波进行信号重构和能量分析。
The wavelet packet method characterized by good time-frequency localization can be used to make signal reconstruction and energy analysis of blasting vibration wave.
小波分析具有空间局部化性质，利用小波分析来分析信号的奇异性及奇异性的位置和奇异度的大小是比较有效的。
Wavelet analysis has space localization property. It is very effective to analyze the signal singularity and singularity location and scale by wavelet analysis.
且在一定条件下得到了有关广义局部上同调模的有限生成性和零化性质的几个结果。
And we also give some finiteness and vanishing results for generalized local cohomology modules under some conditions.
且在一定条件下得到了有关广义局部上同调模的有限生成性和零化性质的几个结果。
And we also give some finiteness and vanishing results for generalized local cohomology modules under some conditions.
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