Reed_Muller

先进PID控制matlab仿真 吊车双摆系统的控制(Advanced PID control simulation matlab)

wireless sensor network manualy designed matlab code for research oriented process

t - time series y - value of series at time t w - cycle length, defined by user based on prior knowledge of time series alpha - type I error used for cofidence interval calculations. Usually set to be 0.05 which corresponds with 95 cofidence intervals(t- time series y- value of series at time t w- cycle length, defined by user based on prior knowledge of time series alpha- type I error used for cofidence interval calculations. Usually set to be 0.05 which corresponds with 95 cofidence intervals)

Matlab file for MPPT and Inverter

为了实现DOA和时延的联合估计,提出了一个无线通信中高分辨率的联合角度和时延估计方法,该方法不需要对参数进行搜索,利用空时矩阵的特征向量和特征值分别估计DOA和时延,通过特征值和特征向量的对应关系,估计的参数可以自动实现配对, 只要各路径信号的DOA和时延不同时接近此方法都可以适用,与JADE-MUSIC,JADE-ESPRIT和SI-JADE算法相比,该算法具有较好的鲁棒性和较小的估计误差。仿真结果证明了该算法的有效性。 (In order to achieve the joint estimation of DOA and delay, proposed a wireless communications joint angle and high resolution delay estimation method, the method does not require parameters to search using the space-time matrix eigenvectors and eigenvalues​ ​ , respectively, and the estimated DOA delay, by the correspondence between eigenvalues ​ ​ and eigenvectors, the estimated parameters can be automatically paired DOA and delay of each path as long as the signal is not close to this same method can be applied, with the JADE-MUSIC, JADE-ESPRIT and SI-JADE algorithm, the algorithm has better robustness and smaller estimation error. The simulation results show the effectiveness of the algorithm.)

用MATlab实现的神经算法，比较简单，适用于刚学习粒子群算法的人，大家可以交流一下(MATlab neural algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss)

当文件的某一行存在某一个字符串时，就删除该文件的那一行，并适应于多文件的批量处理。(When a file on a row exists a string, delete the line of the file, batch processing and is suitable for multiple file.)

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

光伏电池模型 matlab simulink里搭建 功能良好(PV battery model)

MATLAB程序，其中包含cholesky 分解和QR分解，都是典型程序。大家下载来看看吧。(MATLAB program, which includes cholesky decomposition and QR decomposition, are typical procedures. We downloaded a look)