FSK

super resolution based on local self similarity

代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。 　(Code based on the Matlab software, tells the story of a large number of mathematics method of thinking and process applications.Content in regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, the (empty) sequence analysis, Markov chains, R/S analysis, linear programming, analytic hierarchy process (ahp) method and artificial neural network modeling, etc.By imitating the calculation process of this book teaches, readers can deepen the understanding and the understanding to the related mathematical methods, and master a lot of Matlab application skills.Code standards, it is with high research value.)

实验中使用随机反向传播算法对构造的神经网络进行学习，最终得到构造的神经网络的权值矩阵。(Experiment using the random back-propagation algorithm to construct the neural network learning, the final structure of the neural network obtained the weight matrix.)

对于滤波器组收发系统的仿真，采用的多项结构(Transceiver system for filter simulation, using a number of structural)

this projeh simulates OFDMreceiver in matlab

灰色模型的背景值和求导过程的联合优化，效果非常不错(Joint optimization model and gray background value derivation process, the effect is very good)

数值求Mittag-Leffler function，这个给出一个多参数的求值，可用在数值仿真。(Solve the value of Mittag-Leffler function, which can be applied the simulink in Matlab.)

基于动量叶素理论的风力机翼型优化，程序为MATLAB编写(Optimization of wind turbine airfoil)

应用matlab产生用正弦信号调制的模拟PPM信号，并给出了功率谱密度(Matlab sinusoidal signal generated by application of the analog PPM signal modulation, and gives the power spectral density)

说明：  MATLAB中文帮助,MATLAB&reg 是一种对技术计算高性能的语言。它集成了计算，可视化和编程于一个易用的环境中，在此环境下，问题和解答都表达为我们熟悉的数学符号。(MATLAB Chinese help, MATLAB &reg is a high-performance technical computing language. It integrates computing, visualization and programming in an easy-to-use environment, in this environment, questions and answers are expressed as the mathematical symbols we are familiar with.)