histeq

说明：  这是二战时期著名的，独领一时风骚的密码机Enigma的源代码，它真实的再现了Enigma的工作原理和真实原貌，希望有兴趣的朋友共同参详(This is the famous World War II, was the sole lead of 1:00 coquettish Enigma cipher machine source code, it is a true reproduction of the working principle of the Enigma and true original, want to have a friend interested in the common parameters are set)

matlab源程序代码，基于BP网络算法用于股票的预测，有修正的过程，过程中有些代码缺少！(matlab source code, based on BP neural network algorithm is used to predict the stock, during some of the code is missing! ! !)

压缩感知，本例子是通过小波基矩阵作为稀疏基，来恢复出原始信号，效果相当明显。(Compressed sensing to recover the original signal by wavelet transform basis matrix , the effect is quite obvious.)

读取MS LTA沸石数据，为LAMMPS模拟LTA沸石建立初始结构(Read MS LTA zeolite data for the establishment of initial LAMMPS analog LTA zeolite structure)

主要介绍RLC串并联谐振技术的基本原理，并进行仿真分析(It introduces the basic principles of series and parallel RLC resonance technology, and simulation analysis)

《MATLAB时尚制作百例配套光盘》错过就没啦……哈哈，实在经典啊("MATLAB fashion produced 100 cases matching CD" missing no Matata ... haha really classic ah)

：介绍遣传算法的基本原理和Matlab的遗传算法优化工具箱(GAOT)，分析了优化工具函数。探讨Matlab遗传算法工具箱在 参数优化和非线性规划中的应用。通过优化实例，说明遗传算法是一种具有良好的全局寻优性能的优化方法。用Maflab语 言及Maflab语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比较灵活、编程效率高等特点。(: Removal algorithm introduce the basic principles and Matlab Genetic Algorithm Optimization Toolbox (GAOT), an analysis of function optimization tool. Explore the Matlab Genetic Algorithm Toolbox in the parameter optimization and nonlinear programming applications. Through optimization examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Maflab language and using language Maflab Optimization Toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency.)

《MATLAB程序设计教程》一书的源代码( MATLAB Programming Tutorial the book s source code)

用MATLAB编写的实现ADABOOST算法的程序，包括级联分类器的设计。(matlab reality adaboost with cascade classifier)

使用一般PI模型拟合非线性曲线，最小二乘法参数辨识，逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.)