program2_2

极好的有限元结构动力学分析算例，为初学者带来福音(good example for dynamic analysis)

说明：  matlab gm（1，n）程序 希望对灰色系统研究者有所帮助(matlab gm (1, n) process researchers hope to help the gray system)

说明：  图像变换关于离散余炫域数字水印技术的相关程序欢迎下载(Image Transform on the discrete domain I Xuan digital watermarking technology related procedures welcome to download)

This is a Matlab code for Newton method used in numerical methods to solve linear equations .

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.)

5个基本的解决VRP问题的MATLAB程序之四(5 basic MATLAB program to solve the problem of VRP 4)

附带有MATLAB程序的外文文献，改文献是关于空时编码条件下的mimo系统仿真。(MATLAB program with a foreign literature, the literature is about to change under the conditions of space-time coded mimo system simulation.)

information coding theory with help of matlab

主要是关于阵列信号处理相关代码，尤其是最优信号处理，波束的产生和仿真。(Mainly on the array signal processing-related code, especially the optimum signal processing, beam generation and simulation.)

使用matlab写的6个多用户检测程序，非常有价值(Using matlab written more than 6-user detection procedures, very valuable)