texture-GLCM

二维fdtd程序，模拟TM波，平面波入射(2D fdtd procedures, simulated TM wave, the incident plane wave)

系统地阐述了低密度校验码基于图模型的编译码思想，介绍了密度进化理论，对影响低密度校验码纠错性能的两个主要因素——度序列设计和围长设计进行了深入分析，详细介绍并设计了LDPC的编解码(Systematic exposition of the LDPC graph model based codecs idea, introduces the density evolution theory, the two main factors that affect the performance of LDPC error correction- the degree of sequence design and girth design depth analysis, detailed and designed LDPC codec)

预报误差法参数辨识-松弛的思想，加入重复控制，matlab开发工具箱中的支持向量机，可以实现模式识别领域的数据的分类及回归，包含了阵列信号处理的常见算法。(Prediction Error Method for Parameter Identification- the idea of relaxation, Join repetitive control, matlab development toolbox support vector machine, You can achieve data classification and regression pattern recognition, Contains a common array signal processing algorithm.)

d-statcom reactive power inject

基于matlab语言的车牌字符分割技术，分割出的自拍比较清晰，方法很新颖(Matlab language based on license plate character segmentation, segment of the self-timer is relatively clear, a very novel method)

Matlab编程实现简单的流体替换以及前后合成地震记录对比，含word文档及图示说明。(Matlab programming simple fluid replacement and synthetic seismograms before and after comparison, including word documents and illustrations.)

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)

用梯形法求角向偏振光Z-R面的光场及相位分布(With the trapezoidal method for the angle to the surface of the optical field polarization ZR and phase distribution)

有限单元法基础及MATLAB编程-王焕定（高等教育出版社）源代码(Basis of the finite element method and MATLAB programming- Wang Huan given (Higher Education Press) source code)

Aplication for Matlab, for a problem using SVM