virtual-Mouse

最新版本libsvm，快点珍藏吧，很有用啊(The latest version of libsvm, quick collection of it, very useful )

结构光是三维重建matlab完成实例~。(Which matlab just completed rebuilding the structure.)

offset quadrature amplitude modulation

COUPLING OF TRANSIENT ELECTROMAGNETIC FIELD TO UNSHIELDED CABLE (over a ground plane)

This is the code for IRIS recognition by masek.It includes all the files including description of MASEK thesis.

信道编码仿真模型 汉明码 RS码 BCH码(Simulation model of channel coding)

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. )

Adaptive Control: Introduction Overview, and Applications

matlab命令大全，截止到2010年5月的几乎所有命令(matlab command Daquan, as of May 2010, almost all the commands)

说明：  matlab编译知道，包括matlab的很多编译器(Matlab Compiler 4 Guide)