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An object-oriented C++ implementation of Davidson method for finding a few selected extreme eigenpairs of a large, sparse, real, symmetric matrix(An object-oriented C++ Implementation of Davidson method for finding a few selected extreme eigenpairs of a large, sparse, real, symmetric matrix)

一个用MFC写的滤波器源代码，代码结构非常精巧，可以参考 功能：1 固定带通滤波 2 可变带通滤波 3 噪声删除 4 输入输出误差计算 实现比较简单，由于使用了Microsoft Foundation classes，代码流程很简单，但是实现的功能比较充分 Filter.h：头文件，定义了CFilterApp 类 Filter.cpp：利用MFC的函数实现了CFilterApp Filter.rc：资源文件，包括对话框和图标的说明(use a filter to write MFC source code, code structure is very delicate, can be functional : a fixed band-pass filtering two variable bandpass filter to delete four 3 noise input and output error calculation is relatively simple to achieve. As the use of Microsoft Foundation classes, code process is simple, but to achieve the more fully functional Filter.h : The first document, CFilterApp definition of the category Filter.cpp : MFC function realized CFilterApp Filter.rc : resource files, including dialog box and the note icon)

常规波束形成器DOA估计算法 , Capon最小方差估计方法 , 多重信号分类(MUSIC)算法 的比较(' Conventional beamformer DOA estimation algorithm' , ' Capon minimum variance estimation methods' , ' multiple signal classification (MUSIC) algorithm' comparison)

说明：  压缩感知的例子。重建是用在稀疏域上求最小零范数的方法。首先把零范数凸松弛为一范数，然后变成线性规划问题，从而求得最优解。(An example of the compressive sensing. Its reconstruction is based on L0-norm minimization.)

说明：  极点配置控制（PPC）（连续系统离散化）(Pole placement control (PPC) (discretization of continuous systems))

对图像进行对比增强。没有用matlab命令 而是内核 想研究的同志可以(right image contrast enhancement. Not using Matlab order to study the kernel but the comrades can s)

遗传算法程序：求解TSP问题的深度高效方法(Genetic Algorithm Programming: Solving the problem of deep and efficient method of TSP)

对信号进行谱分析，并根据谱分析结果绘制谱分析结果图。(The signal spectrum analysis, and mapping of the spectral analysis of the results of spectral analysis graph.)

matlab算法分子中第七章的内容,其他内容陆续上载中请稍后(matlab algorithm in Chapter VII of the molecular content, and other content be uploaded later requested)

power system compensation using facts device