ALOHA

本人编写的各种matlab最优化程序代码，其中包含了yZvFLJ问题最优化，无约束一维极值问题，牛顿法基本牛顿法，全局牛顿法，割线法，抛物线法，DekjQSF法 Wolfe.Powell法，Powell法。 (I prepared a variety of optimization matlab code, which contains yZvFLJ problem optimization, Unconstrained one dimensional extremum problem, Newton s method basic Newton method, global Newton method, secant method, parabolic law, DekjQSF law Wolfe.Powell law , Powell method. )

数学物理方程的MATLAB解法与可视化-彭芳麟(matlab analysis numerical calculation)

变步长灰色预测的配浆浓度模糊控制研究Variable step with Grey Prediction Fuzzy Control of plasma concentrations(Variable step with Grey Prediction Fuzzy Control of plasma concentrations)

NEW ALGORITHM FOR THE CLASSIFICATION OF DIFFERENT

对信号进行希尔伯特变换及包络分析，实现信号波形的解调(Hilbert transform of the signal and the DEA, the demodulated signal waveform to achieve)

matlab 经典教程 从入门到精通 实例讲解 非常经典 值得收藏(matlab classic tutorial on the very classic examples from entry to the proficient worth collecting)

Useful selection of Filters for Signal Processing with Matlab

通信原理课程设计：语音信号基带通信传输系统仿真基于DPCM编码和循环码 (Communication Theory Course Design: speech signal base-band telecommunication transmission system simulation Based on DPCM coding and cyclic codes)

说明：  matlab中微分方程的解法，及其应该注意的问题(matlab in the solution of differential equations, and should pay attention to the issue of)

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)