rgb2lab

主要介绍了如何设计一个模糊控制器以及各种模糊理论指令的具体应用(Describes how to design a fuzzy controller and a variety of specific applications of fuzzy theory instruction)

make parity matrix in matlab

eye detection sample in matlab. Eyetrackers can analyze a driver’s level of attentiveness while driving and prevent drowsiness from causing accidents.(eye detection sample in Matlab. Eyetracke rs can analyze a driver's level of attentivenes s while driving and prevent CAR from cau sing accidents.)

本文主要做了1.对三维重建系统中的预处理算法和分割算法进行细致研究，并通过大量实验进行对比分析，指出其优缺点及适用围。 2.传统的分割算法处理每一幅图片都需要用户选定对象和背景，耗时较长。针 对医学CT连续断层图像间相关性强特点，提出一种把Graph Cut方法和区域生长方法相结合的图像分割算法。3.最后将分割目标与后续重建算法结合起来，建立一个完整的三维重建系统。 (This paper has 1 of 3D reconstruction system of preprocessing and segmentation algorithm is carefully studied, and through a lot of experiments are compared and analyzed, and points out their advantages and disadvantages and application range. 2 traditional segmentation algorithm to deal with each picture requires the user to select the object and background, time-consuming. For medical CT images correlation strong characteristic, put forward a segmentation algorithm combining Graph Cut method and region growing method. 3 finally the target segmentation and subsequent reconstruction algorithms are combined, the establishment of a complete 3D )

三维金刚石结构光子晶体带隙计算，所用方法为 传输矩阵法(The three-dimensional diamond structure photonic bandgap calculation, the methods used for the transfer matrix method.)

同步MIMO-OFDM系统,分为SNR=10和SNR=20两种参数进行仿真。MATLAB程序。(Synchronous MIMO-OFDM system, into SNR = 10 SNR = 20 and two kinds of parameters for simulation. MATLAB.)

Levenberg-Marquardt算法 使用Levenberg-Marquardt算法来最小化(Levenberg-Marquardt algorithm using the Levenberg-Marquardt algorithm to minimize the model)

对一维扰动信号进行数学形态学滤波程序，开闭操作函数均基于matlab编写(One-dimensional disturbance signal filtering procedures based on mathematical morphology , opening and closing operation functions are developed based on matlab )

说明：  利用粒子群算法优化svm参数，得到高精度的svm模型(The parameters of SVM are optimized by particle swarm optimization (PSO), and the SVM model with high precision is obtained)

summary of matlab tutorial