2020-05

code to get optical flow using sum of robust differences method

Secant method. This code is for secant method that we study in Numerical Analysis sunject.

matlab中的蚂蚁算法又叫蚁群算法。主要解决函数优化，寻最优值问题(In matlab ，the ants can revolosion the problem about chath the rightes answer .)

this code is created from matlab to deblur a picture in simple way, inverse, lucy-richardson, wiener

cost231信道模型，做通信仿真都知道还是很有用的(cost231 channel model, simulation of communication to do all know that it is useful for)

光纤光栅反射谱曲线，用以描述光栅反射谱特性(FBG reflection spectrum curve, which describes the grating reflection spectrum)

MATLAB6.5的图像处理源码 是从书上面摘录下来的 有具体章节(MATLAB6.5 Image Processing source from the above extract from the book down the specific sections)

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. )

求传递函数的一般格式，通过该程序，我们基本上能写出求任意的传递函数的式子(The general format of the transfer function of demand。Through this program, we can write the formula basically seeking arbitrary transfer function)

Matlab编写的REOF程序，比EOF更能刻画局部特征。(The Matlab' s written REOF the program more than EOF portray local features.)