multi-scale time-varying wavelet 多尺度时变子波
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
结合地震图像噪声的特点，利用多尺度小波变换的优点，提出一种新的自适应小波阈值去噪算法。
Based on the B-Spline theory, this paper present a new kind of multi-scale wavelet transform. The feature of a signal can be extracted in its maximum module or zero-crossing.
本文基于数学样条理论提出了一种新的多尺度小波变换，通过其模极值或零交叉可以有效地提取信号的特征。
According to face geometric features and statistical features, multi-scale wavelet fusing algorithm and SVM are respectively applied to get the location and size of candidate faces.
根据几何特征运用多尺度子波图像融合算法以及统计特征运用SVM方法分别得到人脸在图像中的位置和尺寸。
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