getConductingCylinderScatteringWidthTEz

说明：   模拟退火算法求函数 f(x)的最小值点， 且 l <= x <= u f为待求函数，x0为初值点，l，u分别为搜索区间的上下限，kmax为最大迭代次数 q为退火因子，TolFun为函数容许误差 算法第一步根据输入变量数，将某些量设为缺省值( Simulated annealing algorithm of a function f (x) the minimum point, and l &lt = x &lt = u f is the unknown function, x0 as the initial point, l, u, respectively, lower and upper limits for the search interval, kmax is the maximum q iterations for the annealing factor, TolFun as a function of allowable error algorithm is the first step according to the number of input variables, set default values for certain amount of)

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)

关于图像匹配的算法，根据给定图像，在目标图像上找到目标，达到匹配的目的。(With regard to , according to the given image, the target image to find the target, to match the image matching algorithmpurpose.)

说明：  matlab dct－lms自适应算法仿真例子，该例子做了dct－lms和lms的比较。(Matlab Extra-LMS adaptive algorithm simulation example, the example done Extra-LMS and LMS comparison.)

有关OFDM系统信道估计的源代码 希望有用(OFDM code)

贝叶斯分类器实现多类识别，主要用于两类的识别(BAYES_CLASSIFIER function calculates the discriminant functions for two classes. )

模拟退火算法在飞机巡航中的应用，采用MATLAB编写。(Simulated annealing algorithm in aircraft cruise, using MATLAB prepared.)

This is Uncstned particle filter demo code.

假设有一组海底深度测量数据，采用插值方式绘制海底形状图。(Assuming that there is a group of undersea depth of measurement data, using interpolation methods seabed mapping the shape of Fig.)

MATLAB for signal processing on multiprocessors and multicores.pdf