xz_rot_2changhoptac_DF

Implementation to linear, quadratic and logistic discriminant analysis, for examples

Hough Transformation

PSO滤波，我没试过，请高手用了之后传一个有中文解释的(PSO filter, I never tried, after you pass a master with a Chinese interpretation)

求1000以内的水仙花数(例如：一个数是abc，如果abc=a*a+b*b+c*c,那么abc就是水仙花数)(For less than 1000 of the number of daffodils (for example: a number is ABC, if abc=a*a+b*b+c*c, then ABC is a daffodil number) )

添加applet/application(Add applet/application)

对光限制因子逐渐变大的波导进行光传输仿真(Simulation of the light transmission optical waveguide limiting factor becomes larger)

小波与希尔伯特-黄变换结合分析脑电信号，先进行频域分解，再进行hht分析(wavelet and hht transform, analyze eeg)

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)

MATLAB function which creates a black and white version of a grayscale image by specifying a single threshold value pixels below this value become black, and above this value they are white. Usage:

Matlab 时频分析技术及其应用Matlab 时频分析技术及其应用Matlab 时频分析技术及其应用(Matlab 时频分析技术及其应用)