277257My-programme

克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。(This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit. kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform an ordinary kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the alg)

有关matalab方面的仿真文献，希望大家有好的东西都能够共享！(Matalab aspects related to the simulation literature, I hope everyone has good things to share!)

使用principal component analysis PCA减少特征数目(Use principal component analysis (PCA) to reduce the number features.)

共轭梯度算法，改进后的算法，比较好用，已经验证过了。(Conjugate gradient algorithm, the improved algorithm, more useful, has been verified.)

说明：  线性调频信号的产生及频谱分析并画出频谱图(Linear FM signal spectrum analysis)

利用matlab编写三次样条插值法拟合函数的一般化程序(Cubic spline function using matlab fit function generalization programming)

模糊控制课程作业，针对给定的系统（传递函数）搭建了Simulink平台，对比了模糊控制与PID控制的效果，可通过选取不同的模糊逻辑规则与参数调节仿真结果。(In the course assignment of fuzzy control, a Simulink platform is built for a given system (transfer function). The effects of fuzzy control and PID control are compared. The simulation results can be adjusted by choosing different fuzzy logic rules and parameters.)

MUSIC算法原理及其Matlab仿真.设有m个阵元，p个信号源，x(n)为观测数据,令其特征值分解,然后把特征矩阵U的列向量分为信号特征向量和噪声特征向量(MUSIC Algorithm and its Matlab simulation. With one array element m, p a signal, x (n) for the observed data, so that it eigenvalue decomposition, and then the column vector of characteristic matrix U eigenvectors into signal and noise characteristics vector)

matlab高编程书籍，实用性强，属于提高类书籍(High matlab programming books, practical)

对GPRmax的数据进行成图的一些matlab程序(Some data on GPRmax programs into graphs)