multipath

MATLAB遗传算法工具包，内含标准遗传算法各函数及改进遗传算子的实现函数。(MATLAB genetic algorithm tool kit, containing the standard genetic algorithm to improve the function and genetic operators of the implementation function.)

说明：  matlab 常用命令 matlab 常用命令(frequently used commands commonly used commands matlab matlab)

说明：  fcm我也不知道是干啥的，知道的可以下来用(Gansha fcm I do not know, and know you can come down)

使用CMakeList重新组织的SBA，即稀疏矩阵光束法平差算法，希望对大家有用(Use CMakeList reorganize the SBA, namely sparse matrix bundle adjustment algorithm, we hope to useful)

说明：  第6章 无约束一维极值问题 所在章节 函数名 功 能 6.1 minJT 用进退法求解一维函数的极值区间 6.2 minHJ 用黄金分割法求解一维函数的极值 6.3 minFBNQ 用斐波那契法求解一维函数的极值 6.4 minNewton 用牛顿法求解一维函数的极值 6.5 minGX 用割线法求解一维函数的极值 6.6 minPWX 用抛物线法求解一维函数的极值 6.7 minTri 用三次插值法求解一维函数的极值 6.8.1 minGS 用Goldstein法求解一维函数的极值 6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值 (Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)

Fade detection in matlab

THIS FILES IS ABOUT THE SOLAR PANEL AND ALL THING THAT RELATED TO THIS

Statistical signal proccesing linear chirp example

说明：  BP_Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器，利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)

Logistic 逻辑映射，大家注意看啊(Logistic 逻辑映射)