Calculator

计算互信息非常有用的一组程序,里面有我的例子(a group of procedures of mutual information)

Matlab source code of garborfilter

MATLAB CODE TO SOLVE EQUATIONS Ax=b

水平集快速步进算法的源码，参考书籍为：Level sets and fast matching algorim.(Level set fast marching algorithm source code, reference books as: Level sets and fast matching algorim.)

matlab code selftuning pid

This source code is a one file implementation of 2d correlation and convolution. Using the basic difference between correlation and convolution this code correlates or convolves a given 2d matrix with a square window matrix (another 2d matrix) in an interactive manner in runtime and displays the output on user s choice.

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

Believe Propagation application的经典算法，用来重构压缩感知。(Bayesian Compressed sensing)

光纤信道盲均衡CMA算法，MATLAB开发环境，比较通用的一种算法(Fibre Channel CMA blind equalization algorithms, MATLAB development environment, more generic algorithm)

this is the topsis algourithm to solve problems in mcdm madm to improve desicion making and choose best choice.