分析了图像小波变换后小波系数的特征,讨论了优化小波系数的小波基选择问题。
Have analyzed properties of wavelet coefficients obtained from an image through wavelet transform, and discussed how to select wavelet basis to optimize wavelet coefficients.
提出了一种用于故障信号奇异性检测的小波基选择方法一按照小波规则性系数选择小波基。
A method of choosing a wavelet for the detection of singularities of a fault signal is presented. The method is to choose a wavelet by the regularities of the wavelet and the signal.
通过在声纳图像识别中的实际应用,对图像处理中几种典型的小波基的选择进行了比较分析。
With the practical application of sonar image recognition, comparison and analysis have been done in the selection of several typical wavelet bases which are often used in the image processing.
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