ReductofRoughSetMatlab

用MATLAB编写的另一个用于图像灰度处理的小程序，很经典的一个图像灰度处理小程序。(Prepared using MATLAB image processing and another for a small procedure, it is the classic image of a small program to deal with.)

《Matlab7.x数字信号处理》源码，人民邮电出版社06年版，学习DSP算法很好的参考资料( Matlab7.x digital signal processing source, and the people s version of Posts )

Fuzzy logic example. You enter a temperature degree. Program specifies the membership of fuzzy sets

Book that explains the proper use of verily code and the basics of writing. Examples are also provided

说明：  基于matlab实现卡尔曼滤波。卡尔曼滤波是递推自适应滤波的一种有效方法。(Kalman filter based on the realization of matlab. Recursive adaptive Kalman filter is an effective method for filtering.)

Computational Colour Science Using MATLAB - Stephen Westland & Caterina Ripamonti(Computational Colour Science Using MATLAB- Stephen Westland & Caterina Ripamonti)

图像分形盒维数的算法源程序.此算法是基于黑白二值图像的，因此，需要对导入的图片进行二值化处理，因此算法存在一定误差，但是此算法误差控制在4 以内(Image fractal dimension algorithm source code box This algorithm is based on black and white binary image, and therefore, need to import the picture binarization processing, so the algorithm there are some errors, but this algorithm is less than 4 error control)

求单变量反馈控制回路的输出时间延迟 X为闭环回路输出时间序列 寻找时间延迟tau：即Sdeltmean第一个极小值点对应的t(Find a single variable feedback control loop time delay the output of X is closed-loop output time series to find the time delay tau: the Sdeltmean the first minimum point corresponding to t)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

关于matlab边缘检测算法，在vc++6.0环境中使用，很好用的，共同学习(Edge detection algorithm on matlab in vc++ 6.0 environment, a good use, learning together)