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Matlab中由两个均匀分布随机变量产生高斯白噪声，以及自相关函数和功率谱图(Matlab by two uniformly distributed random variables have a Gaussian white noise, and the autocorrelation function and power spectrum)

无线传感器网络与matlab的结合，用来进行仿真，有助于wsn的学习(Matlab wireless sensor network and the combination used for simulation, the study will help wsn)

求脉率的小demo，有任何问题可以联系我。(A demo about the value of pulse rate .If there any questions ， you can contact me.)

建立一个MIMO系统，通过这个系统可以很好的了解到整个MIMO系统组成和结构(The establishment of a MIMO system, the adoption of the system can be very good that the whole composition and structure of MIMO systems)

基于DQ轴同步旋转坐标轴系数学模型下的双馈发电机simulink模型。(Based on the DQ-axis synchronous rotating frame mathematical model of the shaft under the simulink model of doubly-fed generator.)

计算机控制理论 课本案例源代码 matlab实现(computer control theroy example codes in matlab)

使用VarPtr来取得变量的内存地址 使用CopyMemory取得指定地址的内容(Use CopyMemory obtain the content of the specified address)

广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止(Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algorithm, first noise parameters and model parameters to the initial value, then the first step is to assume that the noise parameters are known, with the smallestsquares to estimate the model parameters, and the second step, and then the latest model parameters to estimate the noise parameters, and so on until the identification accuracy specified requirements or available data is used up)

画电偶极子等势面，电偶极子的三维等势面，可以改变x，y值(Painting equipotential surface dipole)

二维空间中的多边形逼近。确定三个顶点a，b，c并且其函数值按从小到大排列。将二维空间中的多边形三个顶点的函数值按从小到大顺序排列， 判断三点或三点函数值的距离是否小于给定阈值.若小于阈值停止循环，得最优解x0=a(Two-dimensional space polygon approximation. Determine the three vertices a, b, c and its function value in ascending order. The three-dimensional space polygon vertices function values ​ ​ in ascending order, function to determine the three o' clock or three values ​ ​ of the distance is less than a given threshold and if less than the threshold value to stop loop, get the best solution x0 = a)