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matlab实现PVD方法和基于模函数PVD的方法，自己写的，图像隐写的研究内容(matlab implementation PVD PVD method and the method based on mode function, write, and images of the contents of steganography)

bpsk蒙特卡洛仿真，误码特性与信噪比曲线，几种实现的对比(bpsk Monte Carlo simulation, BER- SNR characteristic curve)

简单介绍了用工具MATLAB编写元胞自动机，其中有简单的设计思路，源代码。(A brief written using MATLAB tools of cellular automata, which have a simple design idea, the source code.)

MIMO系统程序,MATLAB原程序，运行可以通过(THE sysetem of MIMO)

这是我自己花了很多时间写的一个模式识别源码。奉献出来与感兴趣的朋友分享，绝对可靠。.. ( Dedication out with friends interested in sharing, absolutely reliable. ..)

pear1.5的安装包，解压到smarty的目录基本就可以使用了。(pear1.5 installation kits, smarty extract the basic directory can use it.)

说明：  matlab图像处理小程序,包括，图形显示、滤波，除噪、变换等。适用于一些新手。(MATLAB image processing procedures, including graphics display, filtering, denoising and transform. Apply to beginners.)

Matlab中没有现成的Hermite插值函数，必须编写一个M文件实现插值。 设n个节点的数据以数组x0 （已知点的横坐标）， y0（函数值）， y1（导数值）输入（注意Matlat的数组下标从1开始）， m个插值点以数组x 输入，输出数组y 为m 个插值。编写一个名为hermite.m的M文件。 (Matlab is not off-the-shelf Hermite interpolation function, we must realize the preparation of a document M interpolation. N nodes for the data to an array x0 (known point of abscissa), y0 (function value), y1 (numerical derivative) input (note the subscript Matlat array starting at 1), m to the array of interpolation points x input and output array y for m months interpolation. Hermite.m the preparation of a M-file.)

The Gaussian mixture probability hypothesis density filter (GM-PHD Filter) was proposed recently for jointly estimating the time-varying number of targets and their states a noisy sequence of sets of measurements. ( The Gaussian mixture probability hypothesis density filter (GM-PHD Filter) was proposed recently for jointly estimating the time-varying number of targets and their states a noisy sequence of sets of measurements .)

图像超分辨率重建算法，通过稀疏混合估计来实现，效果不错。(Image super-resolution reconstruction algorithm, by mixing estimates sparse achieved good results.)