duda-Pattern-Classification-Matlab

一些有关于分形的程序，非常好玩，可以自己玩一下，包括分形树，julia指数(Some of the procedures on the fractal, very fun, you can play with their own, including the fractal tree, julia Index)

c++必备：c++ primer、clean code、effective c++(c++ primer、clean code、effective c++)

Otto结构反射率代码，用于搜索各个介质参数和厚度(Otto structure reflectivity code, used to search each of the dielectric parameters and thickness)

简易的滤波器，毕业设计用的。希望对大家有用(Filter for matlab.very easy to learn )

分段平均法功率谱分析，不同数据重叠长度对结果的影响 (Sub-average power spectrum analysis, the results of different data length on the impact of overlapping)

jpeg compressionnnnnnnn

具有用户界面的smith圆图，供工程人员使用(smith chart with GUI, for developers)

详细地介绍了各类常见的优化算法，以及其相应的matlab程序。(Detailed description of the common optimization algorithms, as well as the corresponding matlab program.)

本课件为通信专业本科学习matlab入门课件，学习简单，适用范围广并且附有实际编程例子代码。而且还有易懂的simulink仿真(The courseware for the communications matlab introductory undergraduate learning courseware, learning simple, with a wide range of application and the actual programming code examples. But also to understand the simulink)

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.)