subspace_channel_estimation_STBC

it is for electrical engineering in power systerm. it is a matlab function for pv-power load.

说明：  复杂网络研究与建模 总起来说这是一个关于矩阵的运算，用到了c语言里面的东西，实现一个矩阵的逆运算和矩阵的转置等，最终实现的是一个初始节点为4个节点的有向图，随即扩展为一个10000*10000的巨型矩阵，得到该有向图的图形， 与计算机图形学类似，该程序是在构建了一个算法后，用MATLAB实现了一个无标度网络的图形中的各个节点的概率密度，并根据各个节点的概率密度绘出该图 (将中文译成英语 And modeling complex networks Collectively this is a computation on the matrix, use the stuff inside c language to realize the inverse of a matrix and a matrix, etc., and ultimately is an initial node to four nodes directed graph, then Expands to a huge matrix 10000* 10000, by the digraphs graphics, And similar computer graphics, the program is built upon an algorithm, using MATLAB to achieve a scale-free network each node in the graph the probability density and probability density according to each node in the graph drawn )

这个是我做数字伺服系统仿真实验设计的程序，是采用用基于RBF 神经网络的预测误差修正控制(This is what I do digital servo system simulation design process, is the use of RBF neural networks using prediction error correction control)

应用传统连续潮流法绘制PV曲线，有详细的步骤说明。(The traditional continuous power flow method is used to draw the PV curve.)

说明：  如果能够把握其走向趋势，对于切削加工本身来说一定是一个不错的选择(Cutting force plays a very important role in machining in the 21st century. If we master its law, it is very useful for the accuracy)

说明：  这是一个计算具有线性约束的自适应滤波器权系数的程序。是本人做课题编出来的(This is a calculation of the adaptive filter with a linear constraint weights procedures. Is the subject of code out, I do)

MIMO with matlab sorce code

Kinematic description aproximation

自己调试的GSO程序，简单可运行，适合初学者参考。(The glowworm swarm optimization (GSO) is a swarm intelligence optimization algorithm developed based on the behaviour of glowworms (also known as fireflies or lightning bugs). The behaviour pattern of glowworms which is used for this algorithm is the apparent capability of the glowworms to change the intensity of the luciferin emission and thus appear to glow at different intensities.)

matlab提取呼吸和心率数据的程序，很好用，自己编写的，能在频域观察曲线！(matlab extraction procedures respiration and heart rate data, very good, I have written, can be observed in the frequency domain curve!)