Based on this idea, in this paper, we used an infinitely differentiable wavelet with a local support. Its properties are different from those of orthonormal wavelet bases.
基于这一思想，本课题所使用的小波不象一般的正交小波基局部性和正则性是冲突的，相反，它既是局部支撑的，又是无限光滑的。
参考来源 - 小波变换在复合材料拉伸断面图像检测中的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The merit of both shift invariance and directional selectivity enables the complex wavelet to overcome the artifacts in the discrete orthonormal wavelet denoising.
由于复数小波具备平移不变性和方向选择性等优点，使得它在图像去噪中可以克服离散正交小波变换去噪中存在的毛刺现象。
In this paper, we particularly explain the basic principle of orthonormal wavelet Transform by multiresolution and wavelet decompose and give a realization algorithm.
本文详细介绍了通过多分辨分析和小波分解实现正交小波变换的基本原理，并给出了实现算法。
A filter based on orthonormal wavelet bases is designed to do wavelet transform with images. Different scale image edges can be detected form different scale image wavelet transform.
基于正交二进小波，设计了一个滤波器对图象进行多尺度滤波，得到不同尺度的小波变换。
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