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光伏mppt 可生成pv曲线 m函数(The photovoltaic mppt pv curves m function can be generated)

针对焊接过程光谱的去噪问题进行分析，利用matlab编写去噪程序(Analyze the welding process for de-noising issue of the spectrum, the use of de-noising procedure matlab prepared)

解线性方程组的一种迭代法，类似于共轭斜量法：预善共轭斜量法(Solution of linear equations of a iterative method, similar to conjugate oblique method: Pre-good conjugate oblique method)

Import a TDMS file as a matlab object (ob). This is based on the work by Brad Humphreys of ZIN Technologies (he supported v1 of TDMS). I have not tested against v1 but I believe it still supports it.

MachineLearning Classifican KNN-Based Clustering for Improving Social Recommender Systems

It is DMT system for Power line communications

120多个用MATLAB编写的信号处理程序，它们是本书各个章节的大部分例题。用MATLAB编写的程序的名称由“exa”开头，接下来是所在的章、节及例题的序号，如exa010101,指的是第1章第1节（即1.1节）的第1个例题，即例1.1.1。如果该程序是为了说明某一个m文件的应用，则在上述名称的后面跟一个下划线，再在后面加上所说明的MATLAB文件的名称，如exa011001_rand，即是例1.10.1,该例用来说明rand.m文件的应用。(More than 120 signal processing programs written in MATLAB are most of the examples in each chapter of this book. The name of the program written in MATLAB begins with "exa", followed by the ordinal number of the chapters, sections and examples, such as exa0101, which refers to the first example of chapter 1, section 1 (i.e. section 1.1), namely example 1.1.1. If the program is to illustrate the application of an M file, then follow the above name with an underscore, and then add the name of the MATLAB file, such as exa011001_rand, which is Example 1.10.1. This example is used to illustrate the application of rand.m file.)

案例2 BP神经网络的非线性系统建模-非线性函数拟合(The BP neural network of nonlinear system modeling-nonlinear function fitting)

粒子滤波仿真程序，可以给初学者以帮助，程序中有详尽的解释(Particle filter simulation program, beginners can give to help, there is a detailed explanation on the program )

《MATLAB神经网络30个案例分析》中的第11个例子，案例11 连续Hopfield神经网络的优化-旅行商问题优化计算。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 11 examples, case 11 continuous Hopfield neural network optimization- traveling salesman problem optimization calculation. Hope to have certain help to everybody! )