The size of this network is greatly decreased and its learning algorithm is improved through optimizing wavelet neural cell exciting functions 通过优化组合小波基元激励函数，大大减小了小波神经网络的规模，改善了网络学习特性。
The pre - wavelet on [ 0 , 1 ] was constructed with the splines wavelet and fold function . and the corresponding mallat ' s algorithm was presented 用样条小波和折叠函数构造了[ 0 ， 1 ]上的半正交小波基，给出了相应的分解和重构算法。
The main contributions are as follows : firstly , wavelet transform and lifting scheme are studied ; the criterion of choosing wavelet bases during coding is analyzed 研究了小波变换及提升框架变换，分析了进行图像压缩时选择小波基的依据。
As the research of wavelet is deepened and the range of its application is extended extensively , more demands are added on the construction of wavelet base 随着小波分析研究的不断深入和应用范围的日益扩大，人们对小波基的构造提出了新的要求。
The method in this paper will supply an algorithm gist and a reference for the signal processing in the detection of underground target 所述的算法分析、小波基的选择及小波变换阶的选择等，为地下目标探测中的信号处理，提供了算法依据和应用方法参考。
The construction of daubechies orthogonal wavelet on the interval [ 0 , 1 ] was analyzed . and the biorthogonal wavelet on the interval [ 0 , 1 ] was constructed similarly 分析了daubechies区间正交小波的构造，用类似的方法构造了[ 0 ， 1 ]上的双正交小波基。
4 . have analyzed properties of wavelet coefficients obtained from an image through wavelet transform , and discussed how to select wavelet basis to optimize wavelet coefficients ( 4 )分析了图像小波变换后小波系数的特征，讨论了优化小波系数的小波基选择问题。
Secondly , a 2 - d wavelet packet best basis characteristic extraction method which is essentially different to the familiar basis matching method is described 接着，本文论述了一种与较常出现的小波基匹配降维方法有着本质区别的二维小波包最好基特征提取方法。
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。
