EXP_3

包含了一个Matalab的源代码，实现了一个新的编码方法可提高信息隐藏容量，可参考文献Dictionary Module and User Defined Codes for increasing Steganographic Embedding Capacity(the source code for the paper: Dictionary Module and User Defined Codes for increasing Steganographic Embedding Capacity)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

商品期货价格统计套利matlab程序。工作中正在用的程序(Statistical arbitrage )

说明：  主成分分析（PCA）的增量实施。 该算法在线更新每个变换系数矩阵新样本，而无需将所有样本保留在内存中。 在某种意义上，该算法在形式上等效于通常的批处理版本给定一个样本，将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))

time mesure descipation

matlab—pdf-tool matlab的偏微分工具箱(Matlab- pdf-tool partial differential Matlab Toolbox)

用matlab的核函数对钓鱼岛实现分类（模式识别作业）(Kernel function using matlab realize the Diaoyu Islands classification (pattern recognition operations))

关于小波变换学习的一些源代码，提取小波特征(some of the source code of wavelet transform ，extract haar wavelet feature)

说明：  经典的遗传算法在matlab环境中的实现(Classical genetic algorithm implementation in matlab environment)

说明：  修正的music算法，前后向空间平滑算法的特殊形式(Revised music algorithm, before and after the spatial smoothing algorithm to the special form)