MATLABfunction

一本结合模糊推论系统matlab code源码的电子书，是学习模糊控制最佳用书。(This file contains code for solving some exercises, design problems, and examples in the book:Kevin M. Passino and Stephen Yurkovich, Fuzzy Control, Addison Wesley Longman, Menlo Park, CA)

恒虚警率的matlab程序,可以设置固定阈值，对于信号分析时候非常有帮助(Constant false alarm rate of matlab program, you can set a fixed threshold for the signal analysis is very helpful)

alpha-β滤波器是针对匀速运动目标模型的一种常增益滤波器，本代码给出了在目标机动指标已知、未知和自适应滤波三种情况下的仿真代码(alpha-β filter is a moving target model for a uniform constant gain filter, the code is given in the target mobile targets known, unknown and adaptive filtering three cases of simulation code)

使用栅格法通过蚁群算法规划机器人全局路径(By using the grid method of ant colony algorithm robot global path planning)

双馈感应风力发电机的模型，矢量控制，定子电压定向，完全自己搭建(Doubly fed induction wind generator model, vector control, the stator voltage oriented, to build their own completely)

基本说明了OFDM在MATLAB的系统仿真过程，详细说明了OFDM信号的产生过程。(Basic description of the OFDM System Simulation in MATLAB process, described in detail the process for selecting the OFDM signal.)

Color Space Conversion (RGB 2 YCbCr)

拉丁超立方采样包括还有约束和没有约束的两种。(Latin hypercube sampling includes both constrained and unconstrained sampling.)

单径或多径瑞利衰落信道仿真，有较好的参考价值，主同步信号PSS在时域上的相关仿真，脉冲响应的相关分析算法并检验，基于kaiser窗的双谱线插值FFT谐波分析，重要参数的提取，结合PCA的尺度不变特征变换(SIFT)算法。( Single path or multipath Rayleigh fading channel simulation, There are good reference value, PSS primary synchronization signal in the time domain simulation related, Related impulse response analysis algorithm and inspection, Dual-line interpolation FFT harmonic analysis kaiser windows, Extract important parameters, Combined with PCA scale invariant feature transform (SIFT) algorithm.)

人工鱼群算法是李晓磊等人于2002年在动物群体智能行为研究的基础上提出的一种新型方盛优化算法，该算法根据水域中鱼生存数目最多的地方就是本水域中富含营养物质最多的地方这一特点来模拟鱼群的觅食行为而实现寻优。算法主要利用鱼的三大基本行为：觅食、聚群和追尾行为，采用自上而下的寻优模式从构造个体的底层行为开始，通过鱼群中各个体的局部寻优，达到全局最优值在群体中凸显出来的目的。 这是一个鱼群算法的案例，希望大家可以有所收获(Artificial fish swarm algorithm is a new fangsheng optimization algorithm proposed by li xiaolei et al. on the basis of the research on intelligent behavior of animals in 2002. This algorithm simulates the foraging behavior of fish swarm according to the characteristics that the place with the largest number of fish survival is the place with the largest number of nutrients in the water area.)