licidianliutiaosu

说明：  例子为初学者使用定时器时，对特殊寄存器的设置作参数。(failed to translate)

face recognition in matlab using pca lda both............................

多目标决策法,灰色系统理论中灰色决策的一种，用于解决多目标决策问题(Multi-objective decision, a kind of grey decision-making in the grey system theory, used to solve multi-objective decision-making problem)

OFDM信道估计代码，通过LMMSE估计、LS估计、SVD估计进行研究。并通过MATLAB仿真平台进行仿真，对三种信道估计算法及它们的性能进行了仿真分析和比较。(OFDM channel estimation)

matlab语言与自动控制系统设计使用的教程(Course designed for use with the automatic control system matlab language)

System identification with adaptive filter using full and partial-update Least-Mean-Squares

利用逆转换法，用均匀分布随机数产生指数随机数的数学实验，并绘制直方图检验效果,有兴趣的matlab初学者不妨看看，直方图绘制方法可推广借鉴(mathematical experiment: using a random number to create exp distributed random index number, and drawing the histogram test the effect, catering to interested matlab beginner.)

BP神经网络PID S函数,可用于Simulink仿真。(BP NN PID S-fuction)

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.)

用于Art1, Artmap 和Fuzzy Art 的Matlab子程序(MATLAB routines for Art1, Artmap, Fuzzy Art, Fuzzy Artmap)