fuzzy-controll-of-Cement-kiln

matlab实用教程，适合于初学者实用，文件较小，下载方便(course，basic)

a function that calculate the laplacian transform of an given image

Segmentation of printed character if file is not skewed and characters are not connected to each other.

模拟调制解调：AM、DSB、LSB及FM。（通过AWGN噪声信道）(Analog modulation：AM、DSB、LSB and FM。)

Abstract The key of developing high frequency wideband communication system is how to model the HF wideband channel. Some HF wideband models are discussed and compared in this paper, including Vogler model, parallel subband model, two improved Watterson models and Pseudo- Deterministic model. As a deterministic model, Volger model basically describes the characteristics of HF wideband channel, but it also needs to be improved. The improvement of Vogler model is given in this paper.

说明：  在MATLAB中编写程序，利用三边定位算法对未知节点定位。已知在平面坐标系内，三个锚节点的坐标分别为(50,100)、(0,0)和(100,0)，在0≤x≤100，0≤y≤100的区域内随机产生10个未知位置的节点（其横、纵坐标均为上述范围内的随机数）。 利用三边定位算法 对这10个未知位置的节点进行定位（计算其坐标值），并与其真实位置（随机产生的坐标值）进行比较(MATLAB three-side positioning algorithm)

system_Newton-Laphson in matlab

This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. (The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials , in Proceedings of the 8th ECCV04, Workshop This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. )

说明：  matlab中运用Simpson求积时的求积函数，可以有效解决这类问题。(matlab use Simpson quadrature quadrature at the time of function, can effectively solve all these problems.)

本程序实现任意偶数大小图像第二代双正交97提升小波变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新(err)