wavelet-pujian

基于粒子群的DV_hop算法的运用，有很好的效果，定位比较好(Algorithm based on particle swarm DV_hop use, have a good effect, better positioning)

近似计算随机矩阵Random matrix theory里Tracy-widom分布的函数。主程序被分解为7个子程序。首次运行，请务必先运行‘twamkenew’。请遵守版权说明信息：COPYING.m。(Approximate random matrix Random matrix theory in the Tracy-widom distribution function. The main program is broken down into seven sub-programs. First run, be sure to run twamkenew .For Copying permissions see COPYING.m)

连续小波变换的MATLAB程序代码（morlet小波），主要用于信号分析(morlet wavelet)

有关zernike的论文，高质量，本人用这个论文实现，相当不错(About papers of zernike, high quality, I realize with this thesis, is quite good)

hi this about simulation of ecg signals

盲均衡的经典算法-恒模算法，实验效果良好，是入门学习的必须(Classic blind equalization algorithm- constant modulus algorithm, the experimental result is good, the entry must learn)

基于自适应增量调制和线性增量调制的原理，用matlab实现LDM和ADM，并比较两者之间的优缺点(Based on adaptive delta modulation and linear delta modulation principle, using matlab to achieve LDM and ADM, and compare the advantages and disadvantages between the two)

说明：  Matlab教程，可以借助其学习和使用Matlab，使用软件过程中还可以查阅。(Matlab tutorials can make use of their learning and the use of Matlab, using the software process can access.)

A Survey of Genetic Algorithms do autor M. Tomassini

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)