ofdm-saraqam

出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量，并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近，但解决了现有算法普遍存在的配对难题。 (Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil is called the generalized eigenvalue problem. The most popular algorithm for this task is the QZ algorithm, which is an implicit version of the QR algorithm to solve the associated eigenvalue problem B − 1Ax = λx without forming explicitly the matrix B − 1A (which could be impossible or ill-conditioned if B is singular or near-singular) )

Source code simulating the simplest communication protocol - Stop and Wait.

使用matlab来仿真，是卫星导航电文调制，扩频后，产生.mat文件(Matlab simulation satellite navigation message modulation, spreading generate. Mat file)

系统辨识的模型阶次辨识，其中包括Hankel矩阵法，残差法，行列式法(System identification of model order identification, including Hankel matrix method, residual method, the determinant method)

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

实验目的：用Matlab实现分支定界法求解整数线性规划问题。 实验内容： 用分支定界法求下面的线性整数规划问题的最优解： (Experiment Objective: Matlab to achieve branch and bound method for solving integer linear programming problem. Experiment content: With the branch and bound method seeking the following linear integer programming problem of the optimal solution: )

sliding mode controle

解决无约束最优化的非单调线搜索程序源代码(nonmonotone line search program)

Function to generate colored noise using Euler-Maruyama method

：在介绍过程监控主要内容及方法的基础上，归纳分析了统计过程监控的发展，详细阐述了传统 的PCA、PCR、PLS、FDA、HMM 和几种改进的PCA方法．指出，将人的经验和专家知识融人到PCA统计过程 监控，提高PCA的故障检测、隔离能力，完善故障诊断与评价能力，将是一个有价值的研究方向(: In the introduction the main content and methods of process monitoring based on the inductive analysis of the statistical process monitoring of development, elaborated on the traditional PCA, PCR, PLS, FDA, HMM, and several improved PCA method. Pointed out that the human experience and financial expertise to the PCA statistical process monitoring of people and improve the PCA fault detection, isolation, and improve fault diagnosis and evaluation capacity, will be a valuable research)