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基于harris特征点图像融合MATLAB(Image fusion based on feature point MATLAB harris)

matlab的粒子群算法工具箱(PSO toolbox)，用于求解极值等(matlab PSO toolbox)

垂直泊车仿真模型，采用三段弧式路径规划，能够实现在不同起始点下的垂直泊车(Vertical parking simulation model, using three-stage arc path planning, to achieve vertical departure at different starting points)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

matlab code.................................

FDFD方法计算双脊波导的特征模以及场分布，对计算电磁学的学习很有帮助(FDFD Method to calculate the eigenmodes and electromagnetic field distribution of double ridge waveguide,it will be very helpful for the study of computational electromagnetics)

信号的相关性是很重要的性质，求一维，二维高斯随机数的自相关函数，并进行统计分析。(Signal correlation is very important, for the properties of one-dimensional, two-dimensional gaussian random autocorrelation, and statistical analysis. )

数学建模的程序，用于绘制多元因素的图，2011年建模的程序(Mathematical modeling procedures, multiple factors used to draw maps, 2011 modeling procedures)

filter for image de-noising

Matlab6.5辅助小波分析，基于simulink的小波分析书籍(Matalab 6.5 Auxiliary wavelet analysis, based on the wavelet analysis Simulink books)