jlt_2

主程序为Percus Yevick分布函数和球形粒子媒质的结构因子的计算( Main program for the calculation of Percus Yevick pair distribution function and structure factor for a medium with spherical particles )

Matlab工具箱多维小波变换工具箱\MDWT.zip(Matlab toolbox multidimensional wavelet transform Toolbox MDWT.zip)

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：  Optimization Example

基于matlab的直方图处理，增强细节处理效果，暗处细节可以得到更好体现，并显示处理前后的直方图(Matlab histogram processing to enhance the details of the treatment effect)

Brain MR Image segmentation using k-means clustering

CONSTANT MODULE ALGORITHM

matlab实时监控 (matlab real-time monitoring)

第四版prokias数字通信配套代码之第八章(source code(matlab )for prokias Digital Communication (4th edition))

Pattern formation and KPP equation