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NC-OFDM在六径瑞利衰落信道下的性能分析(NC-OFDM in the six path Rayleigh fading channel performance analysis)

基于互质采样-分段相参积累多项式相位变换的微弱线性调频信号检测算法。该代码的相关论文以oral presentation的形式发表于2018年10月在南京举行的IET国际雷达会议。(Multi-component LFM parameter estimation via order-2 DPT (overlapping and coprime) Author: Dr. Shengheng LIU)

说明：  离散傅里叶变换中的吉布斯效应。这里分别讨论了CFST和CFT两种情况，程序可以直接调用(Discrete Fourier transform of the Gibbs effect. Are discussed here, two cases CFST and CFT, the program can directly call)

结构分析的有限元法与matlab程序设计6-1(Structural analysis of the finite element method and matlab programming 6-1)

说明：  matlab绘图命令(matlab graphics command)

1． 对薄膜形成与生长中相关物理过程及现象进行分析和建模。 2． 利用蒙特卡罗（Monte Carlo）方法和分子动力学（Molecular Dynamics）方法对薄膜形成与生长过程进行计算机模拟。 3． 对多孔硅形成的模拟。 (1. The film formation and growth of relevant physical processes and phenomena analysis and modeling. 2. Monte Carlo (the Monte Carlo) methods and molecular dynamics (Molecular Dyna mics) method for thin film formation and growth process computer simulation. 3. On the formation of porous silicon simulation.)

exemplo compresion dates

说明：  通过matlab计算脉动风，可用于风荷载计算，得到脉动风速(Calculation of fluctuating wind)

Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.

matlab环境下目标函数为求最大值，且解非负整数解 ％bounds 边界约束 ％Myfun 为目标函数 ％num 初始种群数 ％N 最大迭代次数 ％CP 交叉概率 ％P 突变概率 ％f 目标最优解 ％x 最优解向量(matlab environment for the sake of the objective function value, and the solution of non-negative integer solutions％ bounds border％ Myfun bound for the objective function％ num species the initial number of％ N maximum number of iterations％ CP crossover probability％ P mutation probability％ f-objective optimal solution％ x the optimal solution vector)