cv2

说明：  matlab测试图片以及脚本，内容不多，比较简洁(matlab test pictures and scripts, the contents of small, relatively simple)

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)

对64QAM单载波通信系统进行仿真，内附实验报告，可绘制星座图(Simulation of Digital communication system by matlab)

用Jacobi叠待法解线性方程组 function Jacobi(A,b,n,x0,e,N)(Jacobi method to be stacked with solving linear equations function Jacobi (A, b, n, x0, e, N))

基于matlab的BPSK-AWGN编程(hbfghgfhngfhgfjnhgjhg)

说明：  直接扩频序列的仿真 bpsk调制解调 有图示说明(DSSS simulation)

说明：  MATLAB7.1的关于遗传算法的所有源程序祥解(MATLAB7.1 on Genetic Algorithms all source xiang, XIE)

MATLAB遗传算法工具箱,为遗传算法的实现提供了极大的方便(MATLAB genetic algorithm toolbox for the genetic algorithm provides a great convenience)

八种典型雷达辐射源信号仿真，包括不同参数的信号仿真，可用于信号分选等的雷达信号分析(eight typical radar emitter signals simulation,including the signals with different parameter. this signal can be used for signal deinterleaving)

用训练序列和lloyd算法，对一个正弦信号数据进行标量量化。(Using the training sequence and lloyd algorithm, we take a sinusoidal signal data for scalar quantization to deepen our understanding.)