filter

说明：  基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。(Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.)

基于matlab的多孔算法，matlab，matcom(based on the porous Matlab algorithms, Matlab, matcom)

GUI of matlab. Implementation factorial.

运筹学里的优化算法，源代码，而且经过matlab运行过了(Operations Research in the optimization algorithm, source code, and after a run Matlab)

说明：  主要介绍16QAM调制算法，以及这个算法的简单应用(This paper mainly introduces the 16QAM modulation algorithm and its simple application.)

说明：  Matlab函数大全，这里包含了函数的目录，方便查询和使用。(Guinness Matlab function, where the directory contains a function to facilitate the query and use.)

说明：  细胞生长结构可视化工具箱-MATLAB Toolbox1999.zip(cell growth structure visualization toolkit- MATLAB Toolbox1999.zip)

echo cancellation by using adaptive filter NLMS

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.)

说明：  全波频率相速度分析，可以分析软硬地层，不同层数的底层(Full-wave frequency phase velocity analysis, to analyze hard and soft strata, different layers of the underlying)