LISTING6_1

Matlab的一百个入门小实例，可供新手参考。(The one hundred small entry Matlab examples for novice reference)

最短路径算法的MATLAB 版的实现，实属呕心力作···(The shortest path algorithm to achieve MATLAB version, it is disgusting masterpiece.)

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基础例程，用于simulink开发，例程很典型。(Basic matlab routines, used for simulink development, routines are very typical)

MATLAB实现基于蒙特靠罗方法的故障树仿真(MATLAB-based implementation methodology Montenegro Romania on Fault Tree Simulation)

pathloss model in telecomunication example: free space, indoor pathloss, outdoor pathloss

MATLAB中应用RBF神经网络对模式识别处理(MATLAB Application of RBF neural networks for pattern recognition processing)

说明：  都是关于空间普估计算法，其中有解相干和非相干算法以及它们之间的对比( the spatial spectrum estimation)

matlab摄像机标定工具箱，国外的，可以通过这个工具箱作2D靶标定摄像机(Matlab toolbox camera calibration and abroad, through the toolkit for 2D camera calibration target)

用matlab编写波前编码系统光学传递函数mtf在不同离焦下随相位板参数的变化曲线(the curve of mtf along with the change of phase plate parameters under different focal )