LTE

code for sattelite calculaton

New for AlGaAs/GaAs quantum well

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

matlab软件教程ppt文件，主要包括矩阵数值运算等，包含小算法程序及应用实例。(matlab software tutorial ppt files, including matrix numerical computation, including the small algorithm procedures and application examples)

说明：  利用时域有限差分（FDTD）仿真二维（2D）横电波（TE）的传播，吸收边界条件为完全匹配层（PML）。(The use of finite difference time domain (FDTD) simulation of two-dimensional (2D) transverse electric wave (TE) the spread of absorbing boundary conditions for the perfectly matched layer (PML).)

说明：  RML极大拟然参数估计方法辨识程序 可以很好实现 好的很(RML great natural parameter estimation method proposed identification procedure can achieve good very good)

设计了谱减法，小波滤波法实现语音信号的增强的程序(Wavelet filtering through spectral subtraction speech enhancement method to achieve)

matlab实现敏感问题的调查设计，包含敏感问题的基本算法设计流程编码例程(matlab sensitive issues in survey design, containing the sensitive issue of the basic algorithm design process encoding routines)

BP神经网络客流量预测算法的研究，用于基于matlab平台对铁路、公路的客流量进行预测(BP neural network traffic prediction algorithm, based on the the matlab platform on the railway, highway traffic forecast)

该逻辑蒂斯回归模型matlab程序用于数据多分类，适用于有监督，学习型模型。(the matlab code of logistic regression used for data multi-classification. it is a kind of unsurpervisor study.)