MatLab

MPC860SAR源代码，包括头文件、汇编程序以及说明。(MPC860SAR source code, including the first document, and on the compilation process.)

matlab code for jammer modelisation

Scientific communication and publishing

现代数值分析中典型算法的实现源代码 包括了非线性方程求解等(Typical of modern numerical analysis algorithm implementation source code, including the non-linear equations, etc.)

本程序是先用EjLnRw小波变换对人脸图像处理，然后在用ToZCZWm进行降维，最后用ToZCZWm分类器进行多分类分类识别。matlab程序实现，调试没有错误。 (This procedure is to use wavelet transformEjLnRw face image processing, and then use ToZCZWm dimensionality reduction, and finally multi Classification for identification ToZCZWm classifier. matlab program implements debugging without error. )

在空间谱估计中的多重信号分类算法的一个小示例(A small example of multiple signal classification algorithms in spatial spectral estimation)

我们可以对任意图像利用游程编码进行编码和解压。(We can use any image coding and run-length coding decompression.)

利用matlab实现主成分分析！结构清晰！pca based on matlab(pca based on matlab)

迭代自适应Simpson，Lobatto积分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)

Acceptation rejection Algorithme for Generalized Gaussian Data Generation