jacobi

说明：  最优多用户检测，即最大后验概率的算法，主要是用于多用户检测中(Optimal multi-user detection, that is, maximum a posteriori probability algorithm, mainly used for multi-user detection)

抽取颜色，纹理等特征构成210维的特征向量(Extract color, texture and other characteristics to construct 210-dimensional feature vectors )

经典的疾病传播模型，包括SI、SIS、SIR模型等等(The classic model of disease transmission, including SI, SIR models, etc.)

这是一个BPSK仿真程序，可以在给定信道信噪比下计算BPSK系统的差错概率。(BPSK This is a simulation program that can be given Channel SNR calculation BPSK system error probability.)

说明：  讲述了凸优化的基本理论，包括定义，模型，鲁棒特性以及对信号重构的指导等。(Describes the basic theory of convex optimization, including definitions, models, robust features and guidance on the signal reconstruction.)

说明：  DE算法,matlab的实现，可以直接进行优化，很好用的(DE Algrothm)

electric machines analysis

光学matlab仿真： 平面波和球面波干涉(Optical matlab simulation: a plane wave and spherical wave interference)

通过传统互相关的方法来进行声源定位的程序,最后实现延迟差的估计(Estimated by the traditional method of cross-correlation to the sound source localization process, the final realization of the delay difference)

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)