FHsystem

The Techniques and an Efficient PAPR Reduced Method of OFDM Systems(The Techniques and an Efficient PAPR Reduc ed Method of OFDM Systems)

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!)

BPSK和QPSK的调制程序，完全按照通信原理书上的步骤做的，仿真结果正确(BPSK_QPSK_Modulation)

机器人控制仿真程序，机器人控制与MATLAB仿真源码(robotcontrol )

说明：  MATLAB神经网络应用设计:书中实例源程序！ 方便大家学习！(Application of MATLAB neural network design: example of source book! To facilitate learning!)

利用matlab进行高斯归一的一个程序，很实用的(A code of matlab to Normalized Gaussian)

这是关于二自由度直升机模糊控制的simulink仿真模型，很好的参考(This is about two degrees of freedom simulation model simulink fuzzy control helicopter, a good reference)

2D 3D fem dynamic analysis

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

数字图像处理与机器视觉-visual C++与matlab实现,第9章配套源程序(Digital image processing and machine vision of-visual C++ and MATLAB, the 9th chapter matching source)