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卡尔曼滤波在目标跟踪中应用仿真研究。 子函数能完成对运动目标位置的卡尔曼滤波跟踪。 主函数针对一具体假设完成跟踪，并且完成蒙特卡罗仿真。 情景假定：有一两座标雷达对一平面上运动的目标进行观测，目标在 0-600秒沿x轴作恒速直线运动，运动速度为15米/秒，目标的起始点为(-10000米，2000米)。雷达扫描周期T=2秒，x和y独立地进行观测，观测噪声的标准差均为100米。(This program described the Kalman filter algorithm according to a given scenario, simulation achieved the target tracking observation data and Kalman filter results, and the experimental results is studied using the Monte Carlo simulation. )

信源编译码仿真，信道编译码仿真，数字调制解调仿(Simulation of the source codec, channel coding simulation, digital modulation and demodulation simulation)

RSC。源码。需要的拿去。注意不同于SRC。(RSC. Source code. Need to take. Note that unlike SRC.)

说明：  GCC时延估计，二次互相关进行估计时延，精确定位(GCC delay estimation, the second cross-correlation to estimate the delay, precise positioning)

高斯模拟污染物扩散，数据为深圳2012年东风的，数学建模题(Gauss simulation of pollutant diffusion, data for 2012 Shenzhen Dongfeng, mathematical modeling problem)

用matlab实现了PID 控制的编程，得到了较好的控制效果(Realize a PID control with matlab programming, get a better control effect)

模拟退火算法潮流计算程序，包含一个对模拟算法介绍的ppt(Simulated annealing algorithm The power flow calculation program contains a ppt for the simulation algorithm introduced)

指纹识别的matlab程序，里面包括了一些指纹图片，利用gabor小波进行识别(Fingerprint recognition matlab program, which includes a number of fingerprint images using gabor wavelets to identify)

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)

遗传算法无功优化，与理论分析结果相比，窗函数法设计一个数字带通FIR滤波器。( Genetic algorithm based reactive power optimization, Compared with the results of theoretical analysis, A window function design FIR digital band-pass filter.)