A-algorithm-robot-path

matlab实现计算器的基本功能，欢迎讨论(matlab to achieve the basic functions of the calculator, please discuss)

apiriori algoritm in matlab for computer students

mtpa+弱磁+PI控制 PMSM电机控制(mtpa + field weakening + PI control PMSM motor control)

SVDGUI演示了计算任何实矩阵的奇异值的步骤(SVDGUI Demonstrate the computation of the SVD. SVDGUI(A) shows the steps in the computation of the singular value decomposition of any real matrix.)

series compensator facts devicesd

realTrack ： 真实估计 currentmodel ： 构造当前模型 filter_Reslt: 进行自适应Kalman滤波 具体的参数含义及其设置见代码注释 (realTrack: estimated real currentmodel: the current model structure filter_Reslt: Adaptive Kalman filter for the specific meaning of the parameters and their settings, see the code Notes)

matlab code of A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)

comfac算法是三线性模型常见的数据检测方法。它首先将三线性数据通过tucker3模型压缩，然后通过最小二乘的方法不断更新数据，直到收敛，得到估计值( The algorithm works by first compressing the data using a Tucker3 models. Subsequently the PARAFAC model is fitted to the compressed array, either initialized with DTLD (~ESPRIT) or with PARAFAC-ALS. The solution is de-compressed to the original space, and a few safe-guard PARAFAC-ALS steps are performed. Further optimization of this algorithm is possible, e.g. if the data are very large, if the profiles are very correlated or if the noise is huge. This 、 has not been pursued here, in order to have a generally applicable algorithm)

很好很实用的matlab工具函数包括：插值与拟合等相关问题的实现(Nice and useful tool matlab functions include: interpolation and fitting, and other related issues to achieve)

说明：  里面有8PSK，GMSK的matlab源程序，贡献出来了(I was interested in the theory for 8PSK and came across this m-file written in 1999. It requires 2 function calls (graymapPSK and grayunmapPSK) which I have included and must be uncommented(single comments only) and loaded into your workspace. Remove the function calls from this m-file after you load into your workspace. It seems to work well and give valid results for BPSK and QPSK but I have a question about the setup for 8PSK and the solution for Pseint where Pse=Pseint. Also, the Gray coding seems different than what I m used to. Some of you more theoretical minded may have some insight into the theory behind how Pseint was determined and comment. I don t have the communications toolbox-blockset and was wondering how it compared with Matlab s example simulation of 8PSK with Gray coding (in Simulink?) Each run takes about a minute and the loop iterations are shown in the command window. A numerical example of a satellite link is shown using uncoded QPSK )