PF

matlab编写的频域分解法程序，可以在此基础上进行改进.(matlab prepared frequency domain decomposition procedures can be improved on this basis.)

为非常经典的zs细化算法，带有测试图片和matlab程序，可对测试图片进行zs细化(is the classical zs thinning)

BOOT PI CLOSE LOOP CONTOLLER

利用matlab实现光纤的模式分布图的模拟。(Using matlab to achieve mode fiber distribution simulations.)

该代码主要实现了OVTDM(时域重叠复用系统)的仿真，包含脉冲成型、匹配滤波，白化滤波，改进的viterbi译码等。(This code is mainly to simulate the OVTDM system.)

this file contains many programs of wavelet algorithm

说明：  跳频参数估计论文，主要是通过各种时频分析方法进行处理(The hopping parameter estimates thesis, mainly handled by a variety of time-frequency analysis methods)

说明：  使用BP神经网络来预测，其中包括了训练样本和测试样本的划分，神经网路的建立等(BP neural network is used to predict, including the division of training samples and test samples, and the establishment of neural network)

This code is to find data distribution of wind speed. The Weibull distribution parameters are determined

单纯形法，求解线性规划问题的通用方法。单纯形是美国数学家G.B.丹齐克于1947年首先提出来的。它的理论根据是：线性规划问题的可行域是 n维向量空间Rn中的多面凸集，其最优值如果存在必在该凸集的某顶点处达到。顶点所对应的可行解称为基本可行解。单纯形法的基本思想是：先找出一个基本可行解，对它进行鉴别，看是否是最优解；若不是，则按照一定法则转换到另一改进的基本可行解,再鉴别；若仍不是，则再转换,按此重复进行。因基本可行解的个数有限，故经有限次转换必能得出问题的最优解。如果问题无最优解也可用此法判别。 (Simplex method, for solving linear programming problems common method. Simplex is the American mathematician GB Danzig in 1947 first put forward. Its theory is based on: linear programming problem feasible region is n-dimensional vector space Rn convex set in the multi-faceted, and its optimal value must be if the vertices of a convex set to achieve. Feasible solution corresponding to the vertex is called a basic feasible solution. The basic idea of the simplex method is: first find a basic feasible solution, to identify it and see whether it is the optimal solution If not, switch to another according to certain rules to improve the basic feasible solution, and then identify if still No, the re-conversion, click here to repeat. Due to the limited number of basic feasible solution, it will be converted by the finite optimal solution can be reached. If the problem can also be the optimal solution method has been applied without discrimination. )