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rader2

于 2020-04-12 发布

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下载积分: 1 下载次数: 3

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说明：雷达模拟发射信号，回波信号，进行匹配滤波/脉冲压缩仿真，(The radar simulates the transmitted signal and the echo signal, performs the matched filtering / pulse compression simulation,)

文件列表：

rader2\Signal_echo.m, 2802 , 2018-11-10
rader2\Signal_match.m, 2200 , 2018-11-10
rader2\Signal_transmit.m, 4627 , 2018-11-12
rader2\main1105.m, 4367 , 2018-11-05
rader2\rect.m, 192 , 2018-11-07
rader2\signal_tran1101.m, 4364 , 2018-11-03
rader2, 0 , 2020-04-12

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CSOMP
稀疏重建压缩感知算法，可对图像进行稀疏重建。(Sparse reconstruction compressed sensing algorithm can reconstruct image sparsely.)

2018-12-03 15:40:09下载

积分：1
cnn-compression-master
说明： compression压缩感知算法用于图像处理。信号压缩(compressionCompressed sensing algorithm)

2020-12-08 19:59:21下载

积分：1
Histogram_Segmentation
利用基于直方图的自适应阈值方法实现分割前景与背景(The use of foreground and background to achieve segmentation adaptive threshold method based on histogram)

2015-12-08 17:18:26下载

积分：1
binary
说明：用labview实现图像的二值化，通过把图片转化为二维数组，通过和阈值比较把图像二值化(Achieved with labview binary image by the image into a two-dimensional array, and the threshold value by comparison to image binarization)

2021-01-08 20:18:51下载

积分：1
c#联合halcon自定义直线卡尺
c#联合halcon自定义直线卡尺

2020-05-09下载

积分：1
matlab
在MATLAB中，信号S经过信道H卷积后生成接收信号V，V＝conv(S,H),从V和H反卷积(In MATLAB, the signal S after convolution H channel generated receive signal V, V = conv (S, H), from V and H deconvolution)

2021-03-29 10:09:11下载

积分：1
MotionDetection
说明：静止背景下运动目标检测，采用帧间差分的方法进行运动目标识别(Static background motion detection, frame difference methods using Moving Object Recognition)

2010-04-12 15:22:15下载

积分：1
Powell
图像配准powell算法的matlab实现(the matlab implemented powell algorithm)

2010-10-27 11:13:46下载

积分：1
zishiyingxijiezengqiangrgb
细节增强的直方图均衡法，在增强图像对比度的同时还能保留细节细心，避免了细节吞噬现象(Detail enhancement, histogram equalization, but also retained the same time enhance the image contrast details carefully, to avoid the details of phagocytosis)

2021-04-29 12:08:43下载

积分：1
BM3D
说明： This is BM3D algorithm implemented according to the paper: K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering,” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007.(This is BM3D algorithm implemented according to the paper: Image denoising by sparse 3D transform-domain collaborative filtering)

2020-07-06 10:04:45下载

积分：1

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rader2

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