quan_array

关于污水处理厂中生化池中溶解氧的控制，程序使用的是一般的PID控制，PLC模块存放在PLC的CPU中，m文件中有OPC通讯。(About sewage treatment plant biochemical control of dissolved oxygen in the pool, the program uses the general PID control, PLC module is stored in the PLC CPU, m is the file has OPC communication.)

前N条最短路算法,MATLAB版本，供参考(Former N shortest path algorithm article, MATLAB version for reference)

This routine performes trellis quanization of input sequence and provides output which should be further arithmetically coded. The program can be used for research ot teaching purposes to study performance of vector quantization, in particlular code-based trellis (multidimensional lattice) quantization.

说明：  用遗传算法做的图象融合，这是MATLAB源程序，希望对需要的人提供帮助！(using genetic algorithms do Image Fusion, which is MATLAB source, and I hope to provide those who need help!)

判断随机过程是否为泊松过程，对其进行模拟、检验及参数估计。(Random process to determine whether a Poisson process, its simulation, test and parameter estimation.)

针对六自由度机器人关节运动强耦合难分析的问题,开发了可视化机器人仿真平台。该平台以KLD-600型六自由度教学机器人为研究对象,利用MATLAB集成仿真环境,分别实现了机器人正逆运动学计算、机器人点动和联动操作的动画演示等功能,且所有功能以图形用户界面的形式进行调用。该仿真平台可作为机器人教学和科研的仿真工具。(Six degrees of freedom robot joint motion for strong coupling analysis of the problem difficult to develop a visual simulation platform robot. The platform KLD-600-type robot teaching six degrees of freedom for the study, an integrated simulation environment using MATLAB, respectively, to achieve the inverse kinematics of robot is calculated, and the linkage to move the robot animation operations and other functions, and all functions to the form of a graphical user interface calls. The robotic simulation platform can be used as teaching and research simulation tool.)

独立成分分析方法（ICA）的一个方向JADE的实现源代码程序包，对于盲源分离的研究者有很大帮助(Independent component analysis (ICA) to achieve a direction JADE source code package for the blind source separation of great help to researchers)

cybership 2 model supply vessel

单纯形法的matlab编程，其中具体数值视具体问题而定(Matlab programming simplex method)

这是用汉语注释的EMD程序，很不错的。％ 语法 ％ IMF = EMD(X) ％ IMF = EMD(X,..., Option_name ,Option_value,...) ％ IMF = EMD(X,OPTS) ％ [IMF,ORT,NB_ITERATIONS] = EMD(...)(This is annotated in Chinese EMD procedures, very good. Syntax IMF = EMD (X) IMF = EMD (X ,..., Option_name, Option_value ,...) IMF = EMD (X, OPTS) [IMF, ORT, NB_ITERATIONS] = EMD (.. .))