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。
From this, detection, location and classification of power quality's disturbances are analyzed respectively, by the symmetry complex compactly-supported orthonormal wavelet constructed.
利用所构造的复数正交紧支对称小波，分别研究了电网电能质量扰动的检测、定位与分类问题。
Starting from perfect reconstruction filter Banks, the relationship between the wavelet and the filter Banks is analyzed, and the construction of complex discrete orthonormal wavelet is discussed.
从完全重构滤波器组出发，分析了小波与滤波器组之间的关系，讨论了复数离散正交小波的构造。
Starting from perfect reconstruction filter Banks, the relationship between the wavelet and the filter Banks is analyzed, and the construction of complex discrete orthonormal wavelet is discussed.
从完全重构滤波器组出发，分析了小波与滤波器组之间的关系，讨论了复数离散正交小波的构造。
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