MATLABpipeihanshu

test bed for matlab, mimo ofdm

简单的数字图像处理程序，对新手很有帮助，内含很多简易程序(Digital image processing procedures)

说明：  最小平方反褶积代码。地球物理科学中广泛使用的反褶积方法，使用Matlab语言编写。(least squares deconvolution code. Geophysical Sciences extensive use of deconvolution method, the use of Matlab.)

一个基于离散余弦变换的水印算法的matlab程序（嵌入、提取）(one based on discrete cosine transform the watermark algorithm Matlab (embedding and extraction))

用matlab编写的2维FDTD算法程序，与大家共享(using Matlab prepared by the two-dimensional FDTD algorithm procedures, and share)

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. )

说明：  This file contains the codes for M/G/1 queueing with simulation results..

说明：  演化博弈Matlab工具箱, 适用于复杂网络演化博弈研究(evolutionary game toolbox)

广义蚁群算法在TSP问题中的实现，得出蚂蚁寻找到的最优路径和收敛过程。(Generalized ant colony algorithm in TSP problems, draw ants to find the optimal path and the convergence process.)

基于BP_Adaboost的强分类器设计-公司财务预警建模(Strong classifier based on BP_Adaboost design- the company' s financial early warning modeling)