ga_all

Dana Quade in 1979 proposed a test that is often more powerful than the Friedman test. It also eliminates block differences but weights the raw data indicate possibly more marked treatment effects. Whereas the Friedman test is basically an extension of the sign test, the Quade test is effectively an extension of the Wilcoxon signed rank test and is equivalent to it when the treatments are two.

用二维热传导分数步长法求解二维热传导方程，其中解转化来的方程用的是追赶法,分别用了ADI,LOD,对称LOD方法进行求解(Solving the two-dimensional heat conduction equation with two-dimensional heat conduction fractional step method, Solving the two-dimensional heat conduction equation with two-dimensional heat conduction fractional step method, which transformed to the equation solution is to catch up with the law, respectively, with the ADI, LOD, LOD method for solving symmetric)

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 object serialization functions built with undocumented mex functions `mxSerialize` and `mxDeserialize`. The function can convert any ordinary matlab variable into uint8 array. These functions are unsupported and may change at any time without notice in the future Matlab release.

该程序是LWSG_NMF方法（局部加权稀疏图正则非负矩阵分解）的matlab实现，可根据所需参数，进行设置(The program is LWSG_NMF method (locally weighted sparse graph regular NMF) matlab implementation, according to the required parameters, set)

说明：  这个程序是m序列发生器,它能产生M序列 程序简明扼要 容易运行(This procedure is m sequence generator, it can produce concise and easy to process M running sequence)

code matlab for digital watermarking using DCT-SVD

实现视频 分帧功能 按照灰度值存储 直接matlab读取(matlab vc )

《MATLAB实用指南》系列丛书源代码。(MATLAB)

Wind Turbine Control Systems