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支撑矢量机用matlab编写的程序源代码(SVM)

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)

说明：  两个adaboost算法，代码很短，都有中文注释，第二个代码是第一个的改进。(Two algorithms about adaboost ,the code is very brief,including the Chinese comments. The second one improver better than the first one.)

The function of channel estimation is to form an estimate of the amplitude

Region growing from a specified point using MATLAB.

基于训练符号的OFDM（正交频分复用）系统的仿真(Training OFDM symbols based on the simulation system)

说明：  this code for fingerprint detection

The 16th famous Defcon conference paper

ch9例题05_ode23s口服药在人体中的吸收 matlab 程序(ch9 Examples 05_ode23s oral medication in the body's absorption procedures Matlab)

说明：  认知场景下的功率分配问题源码，这时要考虑次用户对主用户的干扰(Cognitive power allocation scenarios source, this time to consider the sub-user interference of the primary user)