利用FLICM算法进行图像聚类的matlab程序代码 Matlab

matlab仿真心电信号功率谱分析，采用两种普估计算法(matlab simulation of ECG power spectrum analysis, estimation algorithm uses two types of S )

描述系统（有输入和无输入），通过系统状态矩阵判断系统稳定性，可控性，可观性(Describe the system (with input and no input), the system state matrix to determine the system stability, controllability, observability)

DVB_S2_LDPC逐位累积编码算法文档及MATLAB仿真(DVB_S2_LDPC accumulated bit by bit encoding algorithm documentation, and MATLAB simulation)

自适应梯形求积法 特别适合被积函数为强峰的定积分 此程序修改余地很大(Adaptive trapezoid quadrature method was particularly suited to the plot function for the strong peaks of the definite integral of a large room for this procedure to amend)

说明：   duhen迟滞模型的MATLAB语言实现，这是自己对照duhen迟滞模型的数学表达式编写的，已经运行过，完全正确(On the hysteresis)

optical fiber simulation

多输入多输出（MIMO）的预测控制MATLAB仿真(Multiple Input Multiple Output Model Predictive Control )

本文利用文献〔1〕、〔2〕、〔3〕中关于指数分布的特征刻划与稳定性定理,得到了均匀分布,瑞利(Rayleigh)分布和威布尔(Weibull)分布的一些特征性质与稳定性结果(In this paper, literature 〔1〕 〔2〕 〔3〕 on Exponential Distribution and characterization and stability theorem, the uniform distribution, Rayleigh (Rayleigh) and Weibull (Weibull) distribution in the nature of some features Stability Results)

系统采用的是直接标定摄像机内部参数的算法，算法借助于标定参照物直接计算摄像机的内参数。整个系统是在VC++环境下设 计并实现的，并借助了IPL和OpenCV的帮助，只要输入标定物的图像，系统就可以迅速而又准确地输出摄像机内参数的结果。通过3D 重构实验证明了该系统的有效性。相对于MATLAB实现方式，该系统使用更加方便、快捷。 (System are directly used in the internal parameters of the camera calibration algorithm, calibration algorithm by means of direct calculation of reference within the parameters of the camera. The entire system is in VC++ environment to design and implementation, and with the help of IPL and OpenCV, as long as the input image calibration objects, the system can be output quickly and accurately the results of camera intrinsic parameters. Through the 3D reconstruction of the experiment proved the effectiveness of the system. MATLAB implementation vis-à-vis the way the system more convenient to use, fast.)

现代优化算法中的禁忌搜索算法，50城市TSP测试数据，经测试结果与最优解接近。(Tabu search algorithm, 50 cities TSP test data.)