machine

说明：  在低仰角的情况下，海面的杂波振幅特性满足对数正态分布。本程序就产生这样的杂波(At low elevation, the sea clutter amplitude characteristics to meet the lognormal distribution. This procedure resulted in such a clutter)

使用用FDTD计算三维周期结构的程序结构为同轴resonanter(FDTD calculation of three-dimensional periodic structure with the procedures)

说明：  主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。(The thesis focuses on the extended Kalman filter (EKF), unscented Kalman filter (UKF) and the improvement of unscented Kalman filter (MAUKF) algorithm research, researched the basic principles of three algorithms and their characteristics. Extended Kalman filter (EKF) is the local linear Kalman filter, the algorithm and computation are simple in weakly nonlinear and Gaussian environment. Unscented Kalman filter (UKF) is determined using a series of samples to approximate the state posterior probability density. Improved UKF algorithm (MAUKF) is introduced attenuation factor based on the UKF.)

说明：  电路模拟的例程 包括图形 仿真的说明 欢迎大家下载(circuit simulation routines including graphic simulation Note welcome you download)

有关UWB的matlab仿真程序,对一些初学者比较有用(the UWB Matlab simulation program, some more useful beginners)

Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and (Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems. It can better deal with the small sample, nonlinear and)

file dll very important to run spike undefr matlab code.

add noise matlab code

this is my code which i learnt in image processing lesson. it finds any geometric shape and draw black lines around it which stands on a white background. it could help how to find a shape for new learners in DIP

将core.txt文件放在C盘根目录下,然后打开matlab，点击“文件”-“打开”选中main.m文件，“运行”这个文件。 命令窗口马上就会显示出运行结果。 mm_Red.m为封装的盲目约简算法.返回值为约简结果. sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果. bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果. cal_sig为封装的求属性重要度的函数。 max_min为封装的求属性度最大，划分个数最小的属性的函数。 dele_max为封装的删除属性度最大，划分个数最小的属性的函数。 mycore.m为封装的求核函数. myind为封装的求划分的函数. ind_E_a为求每个属性的划分的函数.(Files on the core.txt to the C root directory, then open matlab, click on " File" - " Open" main.m file is selected, " Run this file. The command window is displayed immediately run results. mm_Red.m the package blindly reduction algorithm. return value reduction results. sxzyd_Red degree reduction algorithm based on attributes important to package the return value is the result of the reduction. bsjz_Red matrix reduction algorithm for the identification of the package. return value identification matrix and reduction results. cal_sig package attribute importance to the function. max_min demand for the package attribute degrees largest division of the function of the minimum number of attributes. delete attribute degrees dele_max package is the largest division of the function of the minimum number of attributes. mycore.m seeking nuclear function package. myind package and by function. ind_E_a for the sake of each attribute divided function.)