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Smart_Antenna_System

于 2007-11-12 发布 文件大小:5KB
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  Smart Antenna System souce code (Smart Antenna System souce code)

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  • alamouti_new
    alamouti仿真程序供大家分享,有什么问题就提出来哈(simulation program for the sharing and what problems they proposed to Kazakhstan)
    2006-05-28 11:23:37下载
    积分:1
  • PostProcessing
    有限元前处理的一个小程序,包括网格的划分等,比较有用(A finite element pre-processing program, including the division of the grid, the more useful)
    2013-04-16 22:12:17下载
    积分:1
  • id3决策树
    一个很好的关于决策树的算法matlab实现,由详细注释,易懂。(A good decision tree algorithm, matlab implementation, by detailed notes, easy to understand.)
    2017-09-21 20:28:04下载
    积分:1
  • 近场MVDR
    线性阵列在近场区域运用MVDR算法定位噪声源,里面有几种简单的算法(Linear arrays use MVDR algorithm to locate noise sources in near field. There are several simple algorithms in it.)
    2021-04-15 19:28:54下载
    积分:1
  • 3D-SPIHT
    code Matlab this is frome my data base
    2010-05-13 05:54:04下载
    积分:1
  • PR_Toolbox
    PRTools is the basic software package used in the book "Classification, parameter estimation and state estimation - an engineering approach using Matlab" (2004) by Ferdi van der Heijden, Robert P.W. Duin, Dick de Ridder and David M.J. Tax.
    2010-09-30 15:29:17下载
    积分:1
  • calcy
    this code written for antenna
    2012-09-12 19:30:31下载
    积分:1
  • fruit
    fruit recongnize is importart understand the code beefore of play
    2013-11-28 09:25:29下载
    积分:1
  • TDOA_Chan_Matlab
    TDOA定位定位Chan算法,CHAN算法,假设移动台与各基站位置较近,需进行三四WLS计算 输入参数: R(N-1×1): TDOA测量值 Pbs(N×2): 基站的坐标,第一列为X,第二列为Y 参考基站坐标位于第一行 输出参数: POS_ref(2X1):第一次WLS的估计结果,作为参考作最终定位结果的判决 POS1(2X1) :定位结果1 POS2(2X1) :定位结果2 POS3(2X1) :定位结果3 POS4(2X1) :定位结果4(TDOA Location positioning Chan algorithm)
    2012-04-09 20:44:57下载
    积分:1
  • 评判标准
    数字图像修复算法的评价标准也是从两个方面进行评价的,一个是修 复算法的效率,一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间,可以用时间就行量化。而图像质量很难从量上唯一的进 行评价,目前图像修复质量还没有统一的评价标准,从实际应用出发,修 复后图像质量的好坏大多数是从以下两个方面就行评价,修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)
    2021-04-18 23:48:57下载
    积分:1
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