EMD

说明：  自己编的图像加噪声源程序，以matlab为开发环境(image add noise source code, based on matlab)

主动式反孤岛效应方法中的主动频率偏移法，通过matlab中的Embedded function编写的验证函数(Active anti-islanding methods active frequency offset method, through the Embedded function matlab written verification function)

遗传算法学习文档，是ppt课件资料，不错的课件！！(Study documents the genetic algorithm is ppt courseware information, good courseware! !)

Error Correction Codes: Reed-Solomon Decoder using Matlab. Implemented for Wireless Communication Class.

详细的介绍了有关HMM模型的基本思想，是一本很好的资料！(Detailed introduction of the HMM model of the basic idea is a very good information!)

说明：  例题全部代码. 薛定宇, 陈阳泉. 高等应用数学问题的Matlab求解.(All the code examples. Xue Dingyu, Chen Yangquan. MATLAB to solve higher applied mathematical problems.)

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)

一种二次判别函数在MATLAB环境中的实现与应用(A quadratic discriminant function in MATLAB Implementation and Application of)

录制一段自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；通过matlab界面进行编程设计，界面方便人们操作( Their record a voice signal, and recording the signal is sampled draw sample after the time-domain waveform and frequency spectrum of the speech signal designed by matlab programming interface, easy for people to interface)

多目标跟踪的粒子滤波器，各种资源分配算法实现，实现串口的数据采集，调试通过可以使用，滤波求和方式实现宽带波束形成，matlab程序运行时导入数据文件作为输入参数。( Multi-target tracking particle filter, Various resource allocation algorithm, Achieve serial data acquisition, Debugging can be used, Filtering summation way broadband beamforming, Import data files as input parameters matlab program is running.)