theortynuralnetMatlab7

MATLAB learn1.rar MATLAB learn1.rar

这是另个对磨床加工工件工序问题建模求解的MATLAB程序，方法合理可靠(This is another one of the workpiece grinding process modeling and solving the problem of the MATLAB program, the method is reasonable and reliable)

针对样本协方差矩阵求逆方法中采样点小于阵元个数时作出的仿真。此改进方法可以在采样点小于阵元个数时提高波束形成器的性能。(For the sample covariance matrix inversion method of sampling is less than the number of array elements made the simulation. This improved method can be sampled at less than the number of array elements to raise the beamformer performance.)

music算法：矩阵特征空间分解，在空间谱域求取谱函数最大值，其谱峰对应的角度即是来波方向角的估计值。(music algorithm: Matrix feature space decomposition, in the spatial spectral domain to strike a maximum spectral function, its spectral peaks corresponding to the angle that is DOA angle estimate.)

本程序:采用平面梁单元计算两铰抛物线拱的自由振动特性 输入参数： 无 输出结果： 前3阶振动频率及其相应的振型 (failed to translate)

B样条曲线生成程序,HHT插件等。rilling版本，供大家参考学习。 (B-spline curve generation procedures, HHT, such as plug-ins. rilling version for your learning.)

1. 选择一个wav文件作为分析的对象，对该信号进行读取（使用wavread函数）； 2. 音乐信号的频谱分析：首先画出信号的时域波形，然后对信号进行频谱分析得到信号的频谱特性。 3. 设计一组数字滤波器并画出各个滤波器的频率响应 (Filter)

说明：  曲线标记改变的MATLAB程序。需要的来下载。(Curve marked change in the MATLAB program. Need to download.)

基于matlab的gps 模拟仿真工具箱，(Gps simulation based on the matlab toolbox)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )