simulation

FCM聚类模型，通过load本地数据就可以聚类出分类。(FCM clustering model )

随机产生信息码求误码率 信息码长度（帧长64bit） 息码速率为10KHz（100us） 发送带宽20KHz（信息码速率的2倍） 发送信号功率2W 载波频率70MHz 采样频率280MHz（发送数据产生采样率） 20KHz方波 0KHz方波 0KHz方波高低电平采样点数 信息码采样点数 ASK调制的调制度ma=1-2/(2+alpha) 根据2ASK调制度确定alpha值(Random generation of information code for error rate 信息码长度（帧长64bit） Message length (64bit) 息码速率为10KHz（100us） The rate of interest rate is 10KHz (100US) 发送带宽20KHz（信息码速率的2倍） Transmission bandwidth 20KHz (2 times the rate of the information code) 发送信号功率2W Transmit signal power 2W 载波频率70MHz Carrier frequency 70MHz 采样频率280MHz（发送数据产生采样率） Sampling frequency 280MHz (transmit data generated sampling rate) 20KHz方波 20KHz Fang Bo 0KHz方波 0KHz Fang Bo 0KHz方波高低电平采样点数 0KHz square wave height sampling points 信息码采样点数 Information code sampling point ASK调制的调制度ma=1-2/(2+alpha) ASK modulation of the modulation system ma=1-2/ (2+alpha) 根据2ASK调制度确定alpha值 Determine the alpha value according to the 2ASK modulation system )

用于生成雷达回波的程序。主要在雷达仿真时使用。(It mainly implement the clutter for radar simulation)

为了平衡粒子群算法的全局搜索能力和改良局部能力，采用非线性的动态惯性权重即自适应权重法。给出一个用自适应权重的粒子群算法求多元复杂函数的最小值实例。(To balance the PSO global search capability and improved local capacity, the use of non-linear dynamic adaptive inertia weight that the weighting method. Gives an adaptive weights PSO seeking the minimum of multiple instances of complex functions.)

一维声子晶体带隙程序,可以计算一维声子晶体垂直入射状态下的带隙结构(one-dimensional phononic crystal band gap)

matlab ，记录 麦克风输入的声音，播放保持所记录的声音。(matlab record the sound and play it)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

Discrete Fourier Transform in MATLAB

通过将广义预测控制器转换成模型预测控制器的方法来达到广义预测控制的目的，对学习和使用gpc和mpc非常有用。(The generalized predictive controller converts the model predictive controller to achieve the purpose of generalized predictive control, very useful to learn and use gpc and mpc.)

维纳滤波器的MATLAB源程序，处理高斯白噪声，对一维数据进行滤波。(Wiener filter MATLAB source, dealing with gaussian white noise, the one dimensional data filtering. )