同时还讨论了时频分析方法在图象分析与处理中的应用。
We also discussed the applications of these methods on image analysis and processing.
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。
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.
根据跳频信号瞬时带宽，将潜在跳频频率点邻域时频图投影到时域，分选潜在频率跳变点集合。
The potential temporal hopping point set is fetched from the temporal projection variance of the adjacent domain time-frequency image according to the instantaneous signal bandwidth.
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