16QAMfangzhen

在qpsk调制下实现ofdm的仿真 信道是高斯信道(qpsk ofdm awgn)

这是matlab里面的machinelearning工具箱，里面有很多例程方便初学者(This is the Matlab inside machinelearning toolbox, there are a lot of routines to facilitate beginners)

基于滑膜观测器永磁同步电动机无速度传感器控制模型仿真(Based on the synovial observer speed sensorless control of permanent magnet synchronous motor model simulation)

说明：  系统采用LC滤波，利用PR控制器对逆变器输出电压进行闭环控制。PR控制器在逆变器控制中应用很多。PR控制能够在谐振频率处提供无穷大的增益，因而对谐振频率处的电流信号实现无静差跟踪，并且易于实现，可有效降低系统成本。(The system uses LC filter and PR controller to control the output voltage of inverter. PR controller is widely used in inverter control. PR control can provide infinite gain at the resonant frequency, so the current signal at the resonant frequency can be tracked without static error, which is easy to implement and can effectively reduce the system cost.)

A Repetition Code with rate=1/2,A Generator Mrtrix and Uncoded System .these codes shows the performance of their in BSC channel.

2阶3型锁相环仿真,完全个人编写，可设置参数，适合文章仿真使用。(2end order type-III PLL Simulation)

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. )

色散介质的FDTD仿真计算，一维辅助微分方法(FDTD )

三阶倒立摆的鲁棒控制算法，包含了H infinity control 和mu analysis 算法，并进行了比较，很好的程序，值得分享。(Robust order inverted pendulum control algorithm, including the H infinity control and mu analysis algorithm, and compared, a very good program, worth sharing.)

Non-Convex Optimization