armaready

modeling of power lines using matlab software

说明：  经典的MATLAB工具，一种可以解决的BP网络的实例(beautiful MATLAB things)

wavelet watermarking cut(watermarking cut)

可以解出一个线性矩阵不等式中的未知矩阵。(Can solve a linear matrix inequality in the unknown matrix.)

自己编写的模拟退火粒子群算法，里面含有测试函数，比较简单，适合初学者。(I have written simulated annealing particle swarm algorithm, which contains a test function is relatively simple, suitable for beginners.)

独立分量分析法工具箱，MATLAB语言，其中包括许多例子.(Independent component analysis toolbox, MATLAB language, including many examples.)

说明：  该MATLAB程序计算长周期光纤光栅纤芯模式的有效折射率(MATLAB program calculated the long-period fiber grating core mode effective refractive index)

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)

在MATLAB命令行窗口中输入>>guide后打开”test.fig”文件，运行后出现的整个程序的使用界面如下所示：界面左边是一些功能的选择，右边主要是两个图像显示区域，左边的区域显示输入图像，右边的区域显示处理后的图像。(data picture dealing big project)

comparisions of texture and colour features for image retrival