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he form of the Burgers equation considered here is: du du d^2 u -- + u * -- = nu * ----- dt dx dx^2 for -1.0 < x < +1.0, and 0.0 < t. Initial conditions are u(x,0) = - sin(pi*x). Boundary conditions are u(-1,t) = u(+1,t) = 0. The viscosity parameter nu is taken to be 0.01 / pi, although this is not essential. The authors note an integral representation for the solution u(x,t), and present a better version of the formula that is amenable to approximation using Hermite quadrature. This program library does little more than evaluate the exact solution at a user-specified set of points, using the quadrature rule. Internally, the order of this quadrature rule is set to 8, but the user can easily modify this value if greater accuracy is desired.

image watermarking using adaptif methode at RGB image using matlab...

Huffman编码的MATLAB程序计算平均码长 和计算编码效率(Huffman coding MATLAB program)

基于Matlab的MM1排队系统仿真，通过GUI实现用户可视化界面操作，并且可以修改(Matlab MM1 queuing system simulation based on GUI, through the realization of visual user interface operation, and can be modified )

encoding of iris and its recognition using matlab

360°图像序列的柱面全景拼接算法，matlab仿真程序。(360 ° cylindrical panoramic image sequence splicing algorithm, matlab simulation program.)

这个是学习S变换的比较不错的PPT，是基于MATLAB中SIMULINK的程序介绍以及使用方法(This study S-transform good PPT is based on SIMULINK program introduced in MATLAB and use)

image aliasing matlab code

21种特殊函数的数值计算的matlab代码，包括bessel函数，gamma函数，beta函数等(21 kinds of special functions matlab numerical code, including bessel function, gamma function, beta function, etc.)

本论文的主要工作在于引入了一种新的特征提取方法----独立分量分析。独立分量分析的根本原理是通过分析多维观测数据间的高阶统计相关性，找出相互独立的隐含信息成分，完成分量间高阶冗余的去除及独立信源的提取(In this paper, the major work is the introduction of a new method of feature extraction independent component analysis. Independent component analysis of the fundamental principle is that through the analysis of multi-dimensional data between the relevance of higher-order statistics, independent of each other to identify the implied message composition, the completion of inter-component higher-order removal of redundant and independent source extraction)