LFM_mixing

用BP网络完成函数的逼近 P网络通常有一个或多个隐层，隐层中的神经元均采用sigmoid型变换函数，输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务，其中隐层的神经元个数是5。(network to be completed by BP function approximation P networks usually have one or more hidden layer, a hidden layer neurons are used sigmoid-type transformation function, the output layer neurons using pure linear transformation function. The application of a two-tier cases BP network function approximation to complete the task, hidden layer neuron number is 5.)

说明：  假设每个延时单元延时10ms.被传输的基带信号x(t)是一个0，1交替变换的矩形二进制脉冲序列，脉宽为10ms，并假设x(t)通过一个稳定的散射信道后才到达均衡器，成为2径信号，这两路信号幅度相等 ，相隔15ms。用MATLAB实现一个2级LMS均衡器(equalizer)

model predictive controller

通过手动选点的图像配准程序，会弹出窗口提示进行人机交互试选点(register images through interactive point-selection )

使用QR分解方法计算矩阵特征值的matlab源码(Calculated using the QR decomposition of the matrix eigenvalue matlab source)

binomial distibution

给定一个日期，求出该日为星期几（已知2002-3-28为星期四）。(Given a date, find the day of the week (known 2002-3-28 of Thursday).)

kaiser窗函数的用法，这是一个资料上的，经过验证了，希望帮得到你。(usage of the kaiser window function, which is an information, after the verification, and hope to help get you.)

matlab MRMR和relieff特征选择方法，希望对大家有所帮助。(Matlab MRMR and ReliefF feature selection method, we hope to help everyone.)

用matlab解决微分方程中的问题，提供一些实例和代码，希望大家支持(Using matlab to solve differential equations of the problem, provide some examples and code, I hope you will support)