A new method for choosing biorthogonal wavelet bases which is suitable for image coding is presented.
本文提出一种新的选择适于图像编码应用的双正交小波基的方法。
参考来源 - 分析与综合小波交换使用时编码性能的研究In this paper, we firstly introduce some basic properties of wavelet, which are involved in chapter one . secondly, we introduce orthogonal wavelet bases, scale function and scale equations etc. ,which are involver in chapter two .
本文首先介绍了傅里叶变换和小波变换的由来以及一些基本性质,这主要体现在第一章,随后介绍了正交小波基以及尺度函数,尺度方程等概念,这主要体现在第二章。
参考来源 - 对流方程的拟小波算法·2,447,543篇论文数据，部分数据来源于NoteExpress
By introducing anisotropic decomposition into the transform, the associated wavelet bases may have different sizes in different dimensions, and better directivity.
该变换引入了各向异性分解方式，由此得到的小波基在各个方向上尺度可以不同，并具有更好的方向性。
The thesis has discussed the calculating of the Lipschitz exponent, and analysised and compared the condition between wavelet bases and singularity detection of signal.
文中对奇异性指数的求解问题进行了较详细的讨论和研究，同时对不同小波基下的信号奇异性检测情况进行了分析和比较。
Based on analyzing the physical essence and the principle of singularity detection, this paper discusses the effect of wavelet bases and white noise on signal singularity detection.
在分析小波变换物理本质和奇异性检测原理的基础上，研究了小波基和白噪声对信号奇异性检测性能的影响。
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