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sf_matlab

于 2021-04-23 发布 文件大小:439KB
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  频率步进matlab仿真:包括模糊图的生成，距离像的生成及允余去除拼接，最后还有雷达测角的matlab仿真，包括单目标及多目标(Frequency Step matlab simulation: including fuzzy map generation from the generation and Yun-I like the removal of splicing and, finally, the radar angle measurement of matlab simulation, including the single-objective and multi-objective)

文件列表：

频率步进matlab仿真
..................\AF
..................\..\AF1.asv,2204,2007-03-27
..................\..\AF1.m,2526,2007-03-27
..................\..\AF11.asv,2502,2007-03-28

..................\..\AF11.m,2541,2007-03-28


..................\..\AF12.m,2892,2013-05-22
..................\..\AF2.asv,525,2007-03-26
..................\..\AF2.m,480,2013-05-22
..................\..\AF3.m,464,2007-03-27
..................\..\notice.txt,9,2007-04-23
..................\ifft影响





..................\........\Ifft.bmp,236278,2007-03-14
..................\........\Ifft.m,1219,2007-03-24
..................\mover1.asv,866,2007-04-21
..................\mover1.m,891,2013-05-22
..................\mover2.asv,1997,2007-03-15

..................\moveraffect.m,2030,2013-05-22

..................\profile.emf,26560,2007-06-04
..................\profile.vsd,42496,2007-06-04
..................\profile.wmf,9596,2007-06-04
..................\sf.asv,416,2013-05-22

..................\sf.m,394,2013-05-22
..................\static1.asv,0,2007-03-24
..................\static2.asv,607,2006-06-20
..................\static2.m,607,2006-06-20


..................\不同速度的影响.bmp,236278,2006-06-21
..................\不同速度的影响.txt,70,2006-06-21
..................\典型的频率步进宽带雷达的框图.bmp,293526,2007-06-04
..................\几种常见点迹提取算法仿真.bmp,236278,2007-04-03
..................\几种常见点迹提取算法外场实验.bmp,236278,2007-05-15
..................\动目标2次.bmp,112438,2007-04-21
..................\动目标一次.bmp,112438,2007-04-21
..................\回波采样点代表范围.jpg,14270,2007-03-22
..................\回波采样点代表范围.vsd,34816,2007-03-22
..................\实际冗余示意图.bmp,1052214,2007-03-30
..................\成像
..................\....\1目标


..................\....\.....\prof1.asv,508,2006-06-20
..................\....\.....\prof1.m,554,2006-06-20
..................\....\2目标




..................\....\.....\imagine.asv,8051,2008-06-09
..................\....\.....\note.txt,71,2006-04-10
..................\....\.....\prof2.asv,1120,2006-05-18
..................\....\.....\prof2.m,1106,2013-05-22
..................\....\.....\profile4.asv,1204,2008-06-09
..................\....\.....\profile4.m,1320,2013-05-22
..................\测角

..................\....\ceangle.asv,1702,2007-04-28
..................\....\ceangle.m,1701,2007-04-28
..................\....\cejiaoshiyitu.m,141,2007-04-24
..................\....\cejiaotongji.asv,2544,2007-04-27
..................\....\cejiaotongji.m,2544,2007-04-27

..................\....\zhuisaohuibo.m,347,2007-04-09
..................\....\zshb.asv,205,2007-04-09
..................\....\zshb.m,237,2007-04-09



..................\....\锥扫对目标回波的影响.bmp,129698,2007-04-24
..................\绘图1.jpg,22234,2007-03-21
..................\绘图1.vsd,42496,2007-03-21
..................\绘图2.bmp,114238,2007-04-22
..................\绘图2.jpg,6745,2007-04-22
..................\绘图2.vsd,36864,2007-04-22
..................\舍弃法.bmp,236278,2007-04-03
..................\舍弃法和改进算法1.bmp,236278,2007-05-16
..................\舍弃法和改进算法2.bmp,236278,2007-05-16
..................\速度补偿
..................\........\file2.m,1199,2007-04-15
..................\........\file3.m,646,2007-01-03


..................\........\MonCarlo.asv,2364,2007-06-10
..................\........\MonCarlo.m,2364,2007-06-10
..................\........\Monte-Carlo.asv,2222,2007-05-11



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    积分：1
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    积分：1
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  • restore
    说明：  图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 (A sharp and clear image is not directly produced from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics of the system are jointly optimized for optimum system performance.)
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