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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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0 个回复

  • dct
    图相多描述编码matlab仿真 多描述编码的matlab仿真，本科生的毕业设计 生成图像后计算psnr >> J=imread( 两描述都收到后重建的图像.bmp ) PSNR(I,J) ans = 32.3290 >> J=imread( 描述1重建后的图像.bmp ) >> PSNR(I,J) ans = 28.7011 >> J=imread( 描述2重建后的图像.bmp ) >> PSNR(I,J) ans = 29.1467 (Figure phase multiple description coding matlab simulation Matlab simulation of multiple description coding, undergraduate graduation design Generated images calculated psnr >> J = imread ( the reconstructed image after the two descriptions are received. Bmp ) >> PSNR (I, J) ans = 32.3290 >> J = imread ( to describe a reconstruction of images. Bmp ) >> PSNR (I, J) ans = 28.7011 >> J = imread ( to describe two reconstruction images. Bmp ) >> PSNR (I, J) ans = 29.1467)
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    2021-02-24 23:59:39下载
    积分：1
  • new
    混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频(The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video)
    2012-12-19 20:19:21下载
    积分：1
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    2016-10-31 07:59:01下载
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  • LTP_demo-v1
    说明：  LTP算子提取图像的纹理特征，这种方法对于光照变化十分有效。(LTP operator image texture feature extraction, this method is very effective for the illumination changes.)
    2008-11-08 15:42:09下载
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  • SparseLab200-Core
    基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )
    2010-11-07 11:15:03下载
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  • tuxiangchuli
    钢板表面质量检测中，图片是否有拉伸的监测和分析程序(Steel plate surface quality detection, image whether the stretching of the monitoring and analysis program )
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  • dirty glass
    建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These contaminants produce a number of complex volumetric scattering effects that must be taken into account when creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We make the assumption that the contaminant is an optically thin layer and construct an analytic model following results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different types of contamination are also important in achieving visual realism. To this end, we measure the spatially varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)
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