draw

偏最小二乘法，能很好建立物质浓度和与相应的光谱矩阵的回归方程，且能对光谱阵降维和消除噪声影响。(Partial least squares, to establish material concentration and good with the regression equation of the corresponding spectral matrix array dimensionality of the spectrum and can eliminate noise effects. )

成都国腾辉GM3101倒车雷达专用芯片显示源程序(Chengdu, China Tenghui GM3101 reversing radar dedicated chip source)

到达过程是的泊松过程，匹配追踪和正交匹配追踪，计算多重分形非趋势波动分析matlab程序。( Arrival process is a Poisson process, Matching Pursuit and orthogonal matching pursuit, Calculation multifractal detrended fluctuation analysis matlab program.)

0:边界延拓镜像法 1:边界延自适应波形匹配法(boundary conditions)

教会我们怎样把ABAQUS HE MATLAB LIAN JIE QI LAI

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. )

Optimization Techniques

2 stage decimator matlab code

A bad MATLAB data for the algorithm as a DTW model. It can′t recognise the number of 0-9. Do not try it, just do not run testdtw.

说明：  基于模板的图像匹配，使用matlab实现，代码简洁， 有清晰注释(Template-based image matching, the use of matlab, the code is concise, clear notes)