Simulation

该文件夹内用Matlab程序详细阐述了六种数字调制识别技术，希望对大家有所帮助(The folder with Matlab program elaborated six digital modulation recognition technology, we hope to help )

在信号检测与估计中利用roc曲线更加的使我们易于理解。利用matlab编写了roc曲线(Use roc curve signal detection and estimation makes us more easily understood. Roc curve prepared using matlab)

this simulationto make table

语音信号分析与处理及其MATLAB实现,语音信号处理(Speech Signal Analysis and Processing and MATLAB realize, voice signal processing)

说明：  smith预估控制算法的ＭＡＴＬＡＢ程序实现(smith predictor control algorithm MATLAB program realization)

Find the mel spectrum in voice recognition system

Matlab simulink 通信系统建模与仿真一书中MIMO系统仿真的m源代码(mimo simulation )

matlab单步丢番图方程与多步丢番图方程源码(code for sindiophantine and multidiophantine)

微粒群的二维演示，pso_2D，对初学者有一定的帮助！！！！！(Two-dimensional demonstration of particle swarm, pso_2D, must have for beginners help! ! ! ! !)

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)