MATLAB

Level-2的逐笔成交数据是缓存在dzh2datashTEMP目录下(DHZDOOL)

说明：  用MATLAB编写离散小波变换实现数字水印技术(Discrete wavelet transform digital watermarking technology)

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. )

kmeans的程序，用欧式距离对80个对象进行分类(a kind of procedure ralated to the algorithm of Kmeans )

fast fourier transform

Resource Allocation for OFDM Broadcast Channels Allowing User-Wise Coding

This file includes demodulation example that who is using and studying the matlab simulink. I hope this zip file would be helpful for them.

wavelet based image fusion using adaptive decomposition

EM算法,用于估计参数的一个初级入门实例(EM algorithm, used to estimate the parameters of a primary entry examples)

material for tracking