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.
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。
The texture feature was obtained by statistically projecting the local centroid which was referred from the structural texture analysis methods based on the wavelet package transform.
该算法以具有多分辨率特性的小波包为基础,结合结构法的纹理元分析方式,采用区域质心完成局部特征提取,最后使用投影法进行整体的特征提取。
In processing the AE signal, the analysis tool of time and frequency-wavelet package is adopted, in order to confirm the characteristics of time and frequency in strange points of the signal.
在声发射信号的处理中使用了时频分析工具—小波包,将信号在不同尺度上分解,以便确定信号在奇异点处的时频特征信息。
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