waveletprocess

Classical artificial neural network course information

基于MATLAB中M文件编写的BP神经网络控制一阶惯性环节加大时滞系统程序(Written in MATLAB M-file based on BP neural network control to increase the delay part of the first-order inertial system program)

it is very useful to matlab design for students who are searching for boost circuits

切比雪夫滤波器的matlab实现代码，数字信号处理(Chebyshev filter matlab to achieve the code, digital signal processing)

这是一个关于QPSK的仿真程序，是我自己编的，有需要的朋友可以参考一下！！(QPSK)

代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。 　(Code based on the Matlab software, tells the story of a large number of mathematics method of thinking and process applications.Content in regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, the (empty) sequence analysis, Markov chains, R/S analysis, linear programming, analytic hierarchy process (ahp) method and artificial neural network modeling, etc.By imitating the calculation process of this book teaches, readers can deepen the understanding and the understanding to the related mathematical methods, and master a lot of Matlab application skills.Code standards, it is with high research value.)

说明：  利用matlab求多个数据中的最值问题（其中包括最大与最小）(Multiple data using matlab seeking the most value problem （including the largest and smallest）)

本例中主要用到的函数是色彩空间转换函数 makecform 和 applycofm,对于K均值聚类使用 Kmeans函数。(Used in this case, the main function is the color space conversion functions makecform and applycofm, for the K-means clustering using Kmeans function.)

光纤经典书籍，入门学习必备AGRAWAL, G. P. (2001). Nonlinear Fiber Optics (3rd ed.)(AGRAWAL, G. P. (2001). Nonlinear Fiber Optics (3rd ed.))

一种新型的配电网潮流计算的matlab源代码,基于前推回代法，并附有10kv配电网数据，利用新的判别手段，成功解决配电网不收敛的问题(A new distribution power flow calculation matlab source code, based on forward and backward substitution method, together with 10kv distribution network data, using new identification methods, successfully resolved the problem of the distribution network does not converge)