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基于此函数的小波变换零交叉表示和匹配过程，得到了识别轴心轨迹的一种新方法。
Based on zero crossing representation of wavelet transform of this radial function and matching procedure, a new algorithm to identify orbits of shaft centerline is proposed.
对普通图像、航拍图像和医学图像分别进行融合操作，并将融合结果与已知图像的熵和交叉熵作为客观评价指标，与相应小波融合方法进行了比较。
Objective parameters of evaluating the fusion performance are provided via entropy and cross entropy. Comparisons of performance of Brushlet-based and wavelet-based fusion methods are provided.
这门小波、滤波器库和应用的交叉课程包含有完整的一套课堂讲稿、作业、工具和相关资源。
This cross-disciplinary course on Wavelets, Filter Banks and Applications features a complete set of lecture notes, problem sets, tools, and related resources.
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