matlab_ann_sample

Torque motor induced back-emf calculation (Matlab with user-friendly GUI)

here i have attatched codes for pca image processing

关于计算机控制技术的经典教材，温钢云、黄道平 编著，华南理工大学出版社，2001.8月出版。(Classic textbook on computer-controlled technology, temperature steel cloud, the ecliptic, South China University of Technology Press, 2001.8.)

基于simulink实现下垂控制，实现并网逆变器功率均分(Realize droop control based on simulink and realize power equalization of grid-connected inverter)

IRLS算法即迭代最小二乘算法，可用于压缩感知，自适应滤波。(IRLS iterative algorithm that is least square algorithm, and can be used in the compression perception, adaptive filter. )

计算CDMA系统的误码率的最重要的函数，记得看哦，肯定有用(The most important function to calculate the error rate of the CDMA system, remember Kane, certainly useful)

decoder of cellular/telecom

广义互相关函数求时间延迟,PHAT，SCOT等加权方式(GCC for TDOA，PHAT，SCOT)

拉格朗日多项式拟合卫星精密星历。。。。。(lagrange)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.