sirkedekhabo

Matlab 编程所用 很好的一本书,如果你想学好Matlab的编程开发，这本书是一个不错的帮手，下载来看看吧。(This book is very useful for the people who want to learn Matlab well.)

求解椭圆型，双曲型和抛物型偏微分方程的matlab代码(Solve the elliptic, hyperbolic and parabolic partial differential equations matlab code)

视觉注意力重要文献，基于该文献Dirk Walthera等人编制了可以在MATLAB环境下运行的图像显著区提取工具(Modeling attention to salient proto-objects)

Aperture Radar Imaging reference material.

THIS SIMULATION INCLUDES GRID CONNECTED MATLAB SIMULATION.

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)

在matlab环境下，剔除数据样本矩阵中含0的一行数据(Matlab environment, excluding the data sample matrix row of data containing 0)

brushless dc motor model

这是可以用于数据频谱分析的源程序代码，使用MATLAB编写而成的(This is can be used in the source code of the data spectrum analysis, the use of MATLAB written in)

这个程序是用matlab绘画三角阵位置和三角阵列接收信号数据的功率密度函数(This program is a triangular matrix using matlab painting has been in matlab run)