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shuzhijisuan

于 2011-06-11 发布 文件大小:3KB
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下载积分: 1 下载次数: 4

代码说明:

  采用最小二乘法,样条差值等各种方法进行数值计算,并画出相应的图形(Using the least square method, spline method of difference and other numerical calculations and draw the corresponding graph)

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  • wxyt
    读取卫星云图,并计算卷云边的长度曲率等matlab实现(Read cirrus satellite image and calculate the length of curvature, such as edge)
    2009-03-17 09:12:29下载
    积分:1
  • tulun
    这个图论包里面包括好几个常用的程序 如最短路算法等(The graph on the package which includes several popular programs such as the shortest path algorithm)
    2010-08-18 15:53:00下载
    积分:1
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    Mass spring damper model
    2014-09-26 17:20:19下载
    积分:1
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    matalb仿真频率变化对相控阵雷达的天线增益带来的影响,并画图进行分析(Effect of antenna gain MATALB simulation of phased array radar frequency change brings, and drawing analysis)
    2015-01-18 14:55:09下载
    积分:1
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    2021-03-03 11:17:10下载
    积分:1
  • someImageProcessSourcecode
    几种图像处理源码 程序代码说明 P0301:数字图像矩阵数据的显示及其傅立叶变换 P0302:二维离散余弦变换的图像压缩 P0303:采用灰度变换的方法增强图像的对比度 P0304:直方图均匀化 P0305:模拟图像受高斯白噪声和椒盐噪声的影响 P0306:采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307:采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308:图像的自适应魏纳滤波 P0309:运用5种不同的梯度增强法进行图像锐化 P0310:图像的高通滤波和掩模处理 P0311:利用巴特沃斯(Butterworth)低通滤波器对受噪声干扰的图像进行平滑处理 P0312:利用巴特沃斯(Butterworth)高通滤波器对图像进行锐化处理 (err)
    2008-06-13 17:48:40下载
    积分:1
  • 169
    good refernce for matlab
    2011-05-04 02:39:15下载
    积分:1
  • hankelframe1
    a technique for filtering signals. it is a m.file
    2011-06-01 17:59:28下载
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    本论文中,一个混合载波频率偏移估计方案用于基于通用滤波多载波的系统。 此方案所述CFO估计器基于最小平方(LS)准则首先导出以获得粗略频率偏移估计使用大频率搜索步骤。 接着,通过其精确估计残留频率偏移自相关操作补偿。 该算法具有较大估计的特点范围以及更高的估计精度。(In this letter, a robust hybrid carrier frequency offset (CFO) estimation scheme based on training symbols is devised for universal-filtered multi-carrier (UFMC) based systems. In this scheme, the CFO estimator based on a least square (LS) criterion is firstly derived to acquire a coarse frequency offset estimation with the use of a large frequency searching step. And then, the residual frequency offset is accurately estimated through the auto-correlation operation of received signals which have been compensated. This algorithm has the features of larger estimation range as well as higher estimation precision.)
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