digitalPLL

Main Unbalance Three Phase Program

This is matlab model for ASK modulation techniques.

最近编的一个小程序,可以供大家参考,初学者可以下来()

由于信号在传播过程中，由于接收机的移动，就会产生多普勒频移，该文件先分析了多普勒滤波器的频响以及对多普勒频移进行了仿真(Due to the signal in the propagation process, due to the movement of the receiver, and will produce the Doppler shift, the file is first analyzed the frequency response of the Doppler filter and the Doppler shift the simulation)

说明：  GDOP(Geometric Dilution of Precision) 几何精度因子是衡量一个定位系统精度的重要标准之一。 运行程序sGDOP.m可得到三站GDOP仿真结果，更改程序中s_x,y,z可以更改阵列的几何排列。运行程序fGDOP.m得到四站GDOP仿真结果。(GDOP (geometric division of precision) geometric accuracy factor is one of the important standards to measure the accuracy of a positioning system. Running the program sgdop. m, we can get the simulation results of three stations GDOP, and changing the geometry of the array by changing the program s _ x, y,z. Running the program fgdop.m, the simulation results of four stations GDOP are obtained.)

比例导引法的几个matlab程序，根据绝对弹道进行编程设计(Proportional navigation law matlab program, according to the absolute ballistic Programming)

this is a report of affine code.

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!)

Line search method matlab code

have some details about MAP