Volterra级数和失真的直接方法

矩阵运算，具体说明见程序中，在各个程序中都有详细的介绍- The matrix operation, concrete showing sees in the procedure, all has the detailed introduction in each procedure

MD5 哈希算法实现，充分测试验证 API定义如下： void MD5Init PROTO_LIST ((MD5_CTX *)); void MD5Update PROTO_LIST   ((MD5_CTX *, unsigned char *, unsigned int)); void MD5Final PROTO_LIST ((unsigned char [16], MD5_CTX *)); void md5(char*,char*,int len);

DCT 离散傅立叶变换（Discrete Fourier Transform），c + +源码实现。简单高效。  

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应用背景 人脸识别 人脸追踪 The software is provided under the terms of this licence stricly for //       academic, non-commercial, not-for-profit purposes. //     * Redistributions of source code must retain the above copyright notice,  //       this list of conditions (licence) and the following disclaimer. //     * Redistributions in binary form must reproduce the above copyright  //       notice, this list of conditions (licence) and the following disclaimer  //       in the documentation and/or other materials provided with the  //       distribution. //     * The name of the author may not be used to endorse or promote products  //       derived from this software without specific prior written permission. //     * As this software d

包含多种算法的微分方程求解程序 如Adams，龙格贝塔等方法-Contains a variety of algorithms for solving differential equations of programs such as Adams, Long Ge Beita and other methods

使用自上而下分析法，实现了预测分析程序，主要包括求非终结符的First集，Follow集，和分析表，最后使用栈对文法进行分析。使用VC++6.0打开工作空间便可以直接运行。

根据sift flow的优点，利用sift的改进算法surf替代sift，实现surf flow。维数比sift 少，速度更快。利用matlab和c++混合编程实现，需要重新编译mex文件的cpp文件，利用matlab的mex编译技术完成。

建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲 面拟合方法 这种方法对传统的最小二乘(LS)法的作了比较大的改进 使生成的曲线曲面具 有精度高 光滑性好等许多优点 详细介绍了移动最小二乘法的原理 应用和特点 并且给 出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程 最后给出了曲线拟合和空间散 乱数据曲面拟合算例 将拟合结果与最小二乘拟合结果作了比较 分析了 MLS 拟合曲线曲 面的光滑性和拟合质量 表明了该方法的优越性和有效性-Was established based on moving least square (Moving Least-Squares MLS) method of this curve and surface fitting method to the traditional method of least squares (LS) method was relatively large improvements to make the generated curves and surfaces with a precision of High smoothness, good detail, and many other advantages of the principle of least-squares method for mobile applications and features and gives the least-squares method using the mobile curve and surface fitting procedure design process Finally, curve fitting and spatial scattered data surface to be cost-effective cases of the results of the fitting results are compared with the least-squares fitting analysis of MLS fitting curves and surfaces smooth and fitting quality demon

Industrial Mathematics