Improved-least-squares-method-

三相异步电机直接启动仿真,对于一台小功率电机,直接启动简单,这个仿真可以帮助你观察起动电流,起动转矩变化.(Simulation of three-phase asynchronous motor direct starting)

matlab经典算法程序中关于绘图问题的具体指导资料 给需要的朋友们以启发(classical algorithm matlab program drawing problems specific guidance on information to friends who need to inspire)

MATLAB programs designed for Hilbert-huang processing of faulted energy system voltages obtained over PSCAD simulations.

LDA is pattern recognition mfile.

about all communication related program

说明：  数学形态滤波matlab程序实现数学形态滤波matlab程序实现(Matlab program to achieve mathematical morphology filtering)

ios下，一个基于XMPP简单的的通信demo(Under ios, an XMPP-based communication simple demo)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

利用MATLAB中的GUI（图形用户界面），实现图像的平移，旋转，压缩等变换，是效果更加明显。(In MATLAB GUI (graphical user interface), to achieve image translation, rotation, compression transformation, is the effect is more obvious.)

贝叶斯分类估计和最大似然估计的matlab编程(it is used to make the bayesis guji and the mle.it is very convenient for homework)