sim4_n

一份经典的希尔伯特黄变换的参考资料，希望对大家有用(very usefull for your learning)

关于雷电系统设计的资料，对设计雷电定位系统有参考价值(About lightning system design information on the design of lightning location system have reference value)

采用matlab编程进行有限元温度场显示(Using matlab programming for finite element temperature display)

Pattern search (also known as direct search, derivative-free search, or black-box search) is a family of numerical optimization methods that does not require a gradient. As a result, it can be used on functions that are not continuous or differentiable. One such pattern search method is "convergence" (see below), which is based on the theory of positive bases. Optimization attempts to find the best match (the solution that has the lowest error value) in a multidimensional analysis space of possibilities.

说明：  LDPC 编码解码 编码器 高效传输 误比特率性能(ldpc decoder coder ber)

It creates an m-file for a matlab function and populate with a header template describing the purpose of the function, the input and output parameters, and other relevant information. In addition, it inserts information related to the author of the file: username, display name, computer name, windows version, and the time stamp. The command to create a MATLAB function: new myfun It is also possible to append function code at the function m-file creation time as follows: new myfun disp( Hello World! )

先對故障依序編碼為陣列形式在用免疫演算法去做計算模擬得到正確的解答(First failure were coded for the array form of immune algorithm to do the calculation with the correct answers to simulated)

本程序可以显示常见激光模式分布图，如TE00，TE01,TE10,TE22等，有助于对激光横模的理解！(This program is to help students to understand to the laser mode )

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：  ldpc校验矩阵的代码 基于matlab写的 还请多多指点，新手(ldpc calibration matrix code based on Matlab also invited to write a lot of guidance, and newcomers)