mat2txt

说明：  牛顿均差插值公式，使用各阶均差，比拉格朗日插值计算量省(Newton interpolation formula are poor, the use of the bands are worse than the Lagrange interpolation calculation of the volume of the province)

该算法是CHAN定位算法，运用函数的形式编写，利于初学者学校规范化的编程方法(A simple and efficient estimator for hyperbolic location)

说明：   Direct Sequence Spread Spectrum

说明：  用MATLAB实现7参数转换的小程序，会很方便的(7 parameters using MATLAB to achieve conversion of small programs)

捷联惯导仿真，对于初学捷联惯导的人有很大的帮助(SINS simulation SINS for the beginner who has a lot of help)

基于MATLAB的短时傅里叶变换（STFT）的语谱图的画法，MATLAB环境下(MATLAB-based short-time Fourier transform (STFT) of the spectrogram of the painting, MATLAB environment)

this code can rotate matixes and find the rotation angles

OFDM系统中符号定时偏差的估计仿真，基于cp(The estimate of the OFDM symbol timing offset in the system simulation based on cp)

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)

使用分段线性插值算法对数据进行内插，有效的避免了高次插值时产生的龙格现象。(Using piecewise linear interpolation of data interpolation algorithm, effectively avoids the high order interpolation when the runge phenomenon.)