MATLAB

电子书：精通GUI图形界面编程，施晓红编著。(EBook: proficient in GUI graphical interface programming, Shi Xiaohong, ed.)

说明：  包括时间延迟参数的确定，G_P方法，相空间重构等源码。绝对可以运行。(Including the time delay parameters, G_P methods, such as phase-space reconstruction source. Definitely can run.)

Code for doing FDTD solutions.

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

Statistical Methods and Applications (SMA) is the official Journal of the Italian Statistical Society. This international journal fosters the development of statistical methodology and its applications in biological, demographic, economic, health, physical, social, and other scientific domains. In particular, the journal emphasizes investigations of methodological foundations and methods that have broad applications.

说明：  层次分析法,解决多属性决策问题,MATLAB源代码.R2019版本测试通过,只需要修改里面的评判矩阵数据即可(Analytic Hierarchy Process (AHP) to solve multi-attribute decision-making problems, the source code of MATLAB. R2019 version passed the test.)

This is a very good matlab!You can use it for your home work ,or your bussine work！Thank you very much!good luck!bye

matlab实用程序100例，都是些小程序，可以用来熟悉matlab的一些常识(matlab utility 100 cases, are some small programs that can be used to know some of the knowledge of matlab)

研究用于自适应均衡器的LMS算法。研究步长的影响。分别画出W=2.9时，mu= 0.01、0.04和0.08情况下的MSE学习曲线(Research for the adaptive LMS algorithm equalizer. Research on the impact of the step. Draw W = 2.9, respectively, when, mu = MSE learning curve 0.01,0.04 and 0.08 in case of)

Gaussian Pulse function 1