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程序实例，以简洁高效的代码来实现许多程序的功能，是初学者快速入门的经典教材。(procedures matlab examples, concise and efficient code to achieve a number of procedures and functions, are beginners QuickStart classic materials.)

旅行者问题（travelling salesman problem）算法()

马尔科夫链的matlab仿真,马尔可夫模型（Markov Model，MM）是统计模型，它用来描述一个含有隐含未知参数的马尔可夫过程。(Matlab simulation of Markov chains, Markov models (Markov Model, MM) is a statistical model, which is used to describe an unknown parameter containing hidden Markov process.)

CARS-PLS 用于光谱数据或色谱数据变量选择的matlab 源码(CARS-PLS variable selection method for spectral data or chromatography data )

da control filter design in matlab simulink

我们设计和实验证明 布拉格光栅波分复用器 三波长的平面光波电路复用 公交车站台。1310和1550 nm的光，被设计成 由一个半周期通过定向耦合器分离后 和一个完整的周期耦合作用与0.07和0.19分贝的损失， 分别。1492 nm的光反射回来的布拉格 光栅对定向耦合器及其制作少损失 超过2分贝。我们也介绍和讨论新概念 集成光学三工收发器，使用此过滤器。 (We designed and experimentally demonstrated a Bragg grating-assisted wavelength-division-multiplexing filter for the three-wavelength multiplexing on a planar-lightwave-circuit platform. The 1310- and 1550-nm lights were designed to be separated after passing the directional coupler by a half-cycle and a full-cycle coupling actions with losses of 0.07 and 0.19 dB, respectively. The 1492-nm light was reflected back by a Bragg grating fabricated on the directional coupler and its loss was less than 2.0 dB. We also introduced and discussed the new concept of an integrated optical triplexer transceiver using this filter.)

gps信号的跟踪环程序 可以实现最基本的载波环跟踪功能(gps signal tracking loop program can achieve the most basic function of the carrier tracking loop)

一种遗传优化神经网络的算法，里面包含有初始化函数,在运行程序前先将实验数据load进去。输入A =load( D:数据.txt ) 这里的D是你存储数据的位置(A genetic optimization of neural network algorithm, which contains the initialization function, before running the program to the experimental data in load. Enter the A =load (D: data.Txt) where D is your data storage location)

我用C#实现的一个双边滤波器，使用unsafe代码，用指针获取像素。(I use C# to achieve a bilateral filter, use unsafe code to get pixel pointer.)

深度机器学习工具包，MATLAB，内容详尽，有兴趣的可以下载(Depth of machine learning toolkit, MATLAB, detailed, are interested can download)