approach-of-classification

利用matlab编程语言，对合成孔径雷达的chirp-scaling算法进行了仿真的开头程序(Matlab programming language to use for synthetic aperture radar of the chirp-scaling algorithm at the beginning of the simulation program)

运用matlab中的结构动力学工具箱实现有限元分析(using the Matlab toolbox to achieve structural dynamics finite element analysis)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

汽车动力性，燃油经济性计算,基于MATLAB计算的，汽车理论相关内容。(Automotive power, fuel economy calculation)

这是神经模糊网络中的D-FNN，极其所用到的函数程序。(This is a neuro-fuzzy network in the D-FNN, most of the procedures used in the function.)

matlab随机子空间 可以进行模态识别(matlabmatlab)

modulation PCM with matlab

通信中的采样钟恢复，用gardner 算法提取时钟误差。(STR for sampling Time recovery)

说明：  离散点拟合贝塞尔曲线，可以改变阶数，求控制点并求出误差(Fitting Bezier curve with discrete points)

估算带宽，先是计算输入信号单边带功率谱密度，然后估算出信号所占的带宽(Bandwidth estimation, first calculating the input signal is single sideband power spectral density, and then estimate the proportion of signal bandwidth)