And azel had six sons , whose names are these , azrikam , bocheru , and ishmael , and sheariah , and obadiah , and hanan . all these were the sons of azel 代上8 : 38亚悉有六个儿子、他们的名字是亚斯利干、波基路、以实玛利、示亚利雅、俄巴底雅、哈难。这都是亚悉的儿子。
The research of this paper can be divided into three parts . firstly , we will introduce iga ( improved genetic algorithm ) and apply it to choosing the best wavelet ' s basis 本文的主要工作分为两个部分：首先，我们介绍了改进遗传算法iga并把它应用于最优小波基的选取。
This paper proposes a fast algorithm based on non - orthogonal wavelet - based functions for wnn and an adaptive bp algorithm that can get global optimal solution for fnn 分别提出了基于非正交小波基函数的小波神经网络的快速学习算法和能全局寻优的模糊神经网络自适应bp算法。
At the same time , it is desirable for wavelet possess orthogonality , symmetry , short support and higher vanishing moments simultaneously , this leads to the advent of the multiwavelets 同时人们也希望所用的小波基会同时拥有正交性，对称性，紧支性和高阶消失矩，这又导致了多小波理论的诞生。
The results obtained in this dissertation include the following four aspects : ( 1 ) according to the theory of 2d lagrangian interpolation , interpolating wavelets be researched 在小波理论的研究及应用方面，小波基的构造是一个重要的研究方向。在一维情形，无论是理论还是应用都得到深入的研究。
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。
Based on invariability of the quality factor of wavelet transform , combined with proper wavelet group , this paper discusses the application of wavelet transform in the detection of backscatter signal 摘要基于小波变换品质因数不变性的特点，结合适当的小波基，探讨小波变换在回波信号检测中的算法。
Thirdly , the theories of wavelet transform in image compression were described . with the analysis on distribution of the transform coefficient , it is proven that zero - tree structure is the best choice 改进算法包括了以下几个方面：对图像进行小波变换时，选择了更合适图像编码的z97双正交小波基。
But now the field is finite that wavelet analyses is used in the ultrasonic testing signal processing , and the problem of selecting the best wavelet did n ' t be considered in the application of wavelet 但目前小波分析处理超声检测信号的应用领域还很有限，并且应用过程中没有考虑最优小波基的选取问题。
