surfcv

排队论的最基本模型，MM1型。简单的小程序，注释清楚，方便理解。(The most basic model of queuing theory, MM1 type. Simple procedure, comments clear, easy to understand.)

有约束最优化问题：利用matlab中已有的函数。举了一个利用里面函数求最小值的例子。这是最优化与运筹学中会经常遇到的问题(Constrained optimization problem: using the matlab existing function. For a use inside function minimise example. This was the optimized and operations research will often encounter problems )

Set based stochastic optimization for evolving optimum instinct learning balance

图论通用工具箱总汇： GraphTheory Toolbox for MATLAB MATLAB图论通用工具箱Studio大集成版 使用说明: 本工具包包含图论常用算法，经过本人测试通过， 其运行效率很高。用户不妨随机产生100*100、 500*500。1000*1000、5000*5000 等等超大型矩阵尝试。 另外本工具包中还附录了一些求解优化问题的程序。(图论通用工具箱总汇： The graph of general toolbox confluence: GraphTheory Toolbox for MATLAB GraphTheory Toolbox for MATLAB MATLAB图论通用工具箱Studio大集成版 General MATLAB graph theory toolbox of Studio integrated version 使用说明: Instructions for use: 本工具包包含图论常用算法，经过本人测试通过， The kit includes the graph theory algorithms, after I test, 其运行效率很高。用户不妨随机产生100*100、 Its operating efficiency is very high. The user can randomly generated 100*100, 500*500。1000*1000、5000*5000 等等超大型矩阵尝试。 500*500. 1000*1000, 5000*5000 and so on super large matrix try. 另外本工具包中还附录了一些求解优化问题的程序。 In addition, the toolkit also appendix some optimization problem solving program. )

使用MATLAB进行GUI界面的编写 实现了 基本的串口通信，通过FT345bm硬件测试，可是实现115200bps的速率进行传输 ，性能比较稳定。(radar comm ,GUI ，usb ft245bm)

说明卷积编解码的工作原理，用Simulink仿真卷积编码，并用Viterbi译码的方法进行解码(Understand the convolutional codec works with Simulink simulation convolutional coding and Viterbi decoding method to decode)

语音信号处理来的预加重随后进行FFT变换，同时呈现结果图。(Speech signal processing preemphasis subsequent FFT, simultaneous presentation of the results in Fig.)

可用于分析混沌信号特性,很全面,希望站长能让更多的人能阅读到,谢谢!(Can be used to analyze the characteristics of chaotic signals, it is comprehensive, I hope regulators will allow more people to read, thank you!)

Matlab摄像机标定两种方法，张法和TSAI(Matlab camera calibration method, Zhang and TSAI)

介绍了simulink 构建BP神经网络模型(Introduced the BP neural network model building simulink)