dxbebylwktbg_mydown0315

It is a single phase half controlled inverter.

Take its complement by applying DeMorgan’s theorem to obtain F in the form of product of complemented products.

本人是做量化交易的，这个是进入行业的基础，通过matlab测算所有的均线对股票的影响，这个是用来测试ETF和IF的。可以通过这个M文件知道哪个是最优均线(I do quantitative transaction, this is the foundation of entering the industry, through matlab to calculate all the line influence on stock, this is used to test the ETF and the IF.Can use this know which is the optimal average M file)

均匀圆阵的二维music算法，有两个信号，采用meshgrid画图(Uniform circular array music algorithm, there are two signals, using meshgrid drawing)

径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

在matlab绘图中绘制不同函数曲线的用户界面的m函数，奉献给大家！(Drawing graphics in matlab function curves of different user interface function of m, and dedication to you!)

fft变化的matlab程序。。。。。。。。。(fft program in matlab)

说明：  本程序主要设计了一个组合导航的简便的matlab程序的实现，优点在于非常简便的使用一个集中滤波器将各种传感器联系起来，缺点在于精度有待提高。(err)

主元分析的matlab源代码，对于一个样本空间可以获得其主元成分(Principal component analysis, Matlab source code for a sample space to obtain the main element composition)

广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止(Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algorithm, first noise parameters and model parameters to the initial value, then the first step is to assume that the noise parameters are known, with the smallestsquares to estimate the model parameters, and the second step, and then the latest model parameters to estimate the noise parameters, and so on until the identification accuracy specified requirements or available data is used up)