Heat-Transfer-FEM-Package-master

GrTheory - Graph Theory Toolbox. Functions: grBase - find all bases of digraph grCoBase - find all contrabases of digraph grCoCycleBasis - find all independent cut-sets for a connected graph grColEdge - solve the color problem for graph edges grColVer - solve the color problem for graph vertexes grComp - find all components of graph

自适应滤波wiener方法,使用简单方便,绝对正确(Wiener adaptive filtering method, the use of simple and convenient, absolutely right)

说明：  基于模型聚类算法的matlab实现 This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMODEL based on the highest BIC.(model-based clustering algorithm to achieve the Matlab This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMO DEL based on the highest BIC.)

CPU exception context structure in MP shared ram after trap.

这个我用matlab写的一个简单孤立词语音识别的程序，其中同过预处理，ＭＦＣＣ提取，和ＤＴＷ算法的比较，如果大家愿意，还可以用这个和ＬＡＢＶＩＥＷ联合编程(Matlab write this I used a simple isolated word speech recognition procedures, which had the same pretreatment, MFCC extraction, and the DTW algorithm, if everyone is willing, but also can use this joint programming and LABVIEW)

Data mining algorithms including dbscan and k-means

Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。 设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。 编写一个名为lagrange.m的M文件。(Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.)

一种通用的稀疏编码方法，sparse coding，在图像去噪，目标识别等方面有着广泛的应用。(A generic sparse coding, sparse coding, in image denoising, object recognition have a wide range of applications.)

matlab switch lower(type) case uniform R=a+b*randn(M,N) case uniform R= a+(b - a)*rand(M,N( switch lower(type) case uniform R=a+b*randn(M,N) case uniform R= a+(b- a)*rand(M,N)

matlab编写的程序，求解阵列天线方向图、阻抗匹配以及电流分布等(matlab program, array antenna pattern、impendance matching and current distribution)