一个最小均方误差（MMSE）的算法测试源程序

matlabINS toolbox 3.0

this is classifier using Euclidean distance measure for palm print recognition

时域有限差分方法 1维 色散介质中 犹他州大学程序(fdtd method 1D dispersivemedia www.ece.utah.edu)

二维正态分布密度函数的数学模型，通过此函数调用实现结果求取(The mathematical model of two dimensional normal distribution density function is obtained by using this function call.)

mm1 queueing theory matlab

《自适应信号处理》书中各个章节的matlab仿真的源程序！对于学习自适应信号处理的非常有用！-"adaptive signal processing" all the chapters of the book Matlab simulation of the source! Learning adaptive signal processing is very useful!

这一篇2005年左右的论文实现，用来约束水平集演化中曲线融合的问题，结合c语言实现的，来自han xiao 的个人主页

基于matlab实现C-均值分类,模式识别简单聚类分析(experiment of C-mean to explain the course)

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)

说明：  BLMS算法实现，即块LMS算法，是lms算法的的一种优化，值得大家研究(The implementation of BLMs algorithm, block LMS algorithm, is an optimization of LMS algorithm, which is worth studying)