MATLABdiff

基于Matlab的灰色预测算法.灰色预测是指：通过少量的、不完全的信息，建立灰色微分预测模型，对事物发展规律作出模糊性的长期描述（模糊预测领域中理论、方法较为完善的预测学分支）。(Matlab-based prediction algorithm of gray. Gray prediction means: through a small amount of incomplete information, the establishment of differential gray prediction model, the law of development of things to make long-term description of fuzzy (fuzzy predictive field theory, methods, better predictions branch).)

说明：  无线通信中的天线仿真，matlab平台上提供源码，第二部分(Wireless communication antenna simulation, matlab source platform, Part II)

智能绘制风玫瑰图。采用十六分，方向的表示方法。(Smart draw wind roses. 16 points the direction of said。)

卷积编码与Vitabi解码的Matlab程序(Matlab code for convolutional coding and Vitabi decoder.)

matlab下，knn均值算法，可直接调用(matlab under, knn means algorithm, can be called directly)

Bandpass filter program.

一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)

实现了在地震记录中拾取地层的Q值，然后对Q值进行补偿(Pickup achieved in the formation of the Q value of the seismic records, and Q values ​ ​ to compensate for)

电力系统最优潮流问题解析Optimal Power Flow Problem Analysis电力系统最优潮流问题解析(Problem Analysis for Optimal Power Flow Optimal Power Flow Problem Analysis Problem Analysis for Optimal Power Flow)

这是一个简单易理解的在MATLAB环境下编写的字符识别程序，希望能为您提供参考。(This is a simple and easy to understand written character recognition program in the MATLAB environment, hoping to provide a reference for you.)