BEAM

ICA+pcnn代码，用于噪声人脸识别，有合适的接口就能运行(failed to translate)

说明：  经验模式分解matlab程序，有说明易上手效果好(Empirical mode decomposition of Matlab program, there are instructions for easy-to-use and good effect)

this project is about phase shift keying

聚类的测试数据集，matlab打开，3个cluster，1W个测试点，2维。(clustering test data sets, Matlab open, 3 cluster, 1W tests, the two-dimensional.)

支持向量机原理与仿真 (Support vector machine theory level simulation)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

matlab中编的基于遗传算法的转子故障特征选择的小程序，新手程度，仅供参考(matlab in the series based on genetic algorithm rotor fault feature selection of small programs, novice level, for reference only)

Matlab函数查询手册，用于查看Matlab函数的功能和类别。(Matlab Function quick manual)

has the code to build a blackmanns window function

matlab 改进蚁群算法，应用简单广泛。(ant optimization)