-
curvelet软阈值
在matlab平台上，使用多尺度curvelet变换，对SAR图像的相干斑噪声进行抑制，
先将图像进行对数变换，把相干斑乘性噪声转换为加性噪声，然后使用一种有效的阈值去噪方法，很好的抑制了相干斑噪声，效果不错。(On the MATLAB platform, the multiscale curvelet transform is used to suppress the speckle noise of the SAR image.
First, transform the image to logarithmic transformation and transform the speckle multiplicative noise into additive noise. Then an effective threshold denoising method is adopted to suppress the speckle noise very well, and the result is good.)
- 2018-02-24 15:53:39下载
- 积分：1
-
buck-compensation_mathcad
开关电源环路设计之基于MATHCAD的buck电路的设计(Switching power supply loop design based on the buck circuit design MATHCAD)
- 2020-07-07 16:38:57下载
- 积分：1
-
Matlab
matlab分析激光及应用，包括条形腔，矩形腔，以及圆形腔的代码分析(matlab analysis of laser and applications, including strip chamber, rectangular cavity, and the code of circular cavity)
- 2011-06-02 14:12:14下载
- 积分：1
-
danxiangguangfu
光伏电池的最大功率点跟踪simulink模型 (PV maximum power point tracking simulink model)
- 2011-04-27 09:45:24下载
- 积分：1
-
FNN
我在这里有一个基于matlab的RNN递归网络源代码，希望和大家一起分享(I have a Matlab-based RNN recursive network source code, I hope to share with everyone)
- 2012-04-22 11:40:11下载
- 积分：1
-
LUsolve
companion routine to LUfactor
- 2012-04-26 15:18:29下载
- 积分：1
-
LDPC
ldpc码的编码、解码、构造校验矩阵程序。MATLAB环境(ldpc Decoding)
- 2010-06-14 22:39:06下载
- 积分：1
-
Double-basement-exterior-wal
双层地下室外墙，mathcad格式。Double basement exterior wal(Double basement exterior wal)
- 2015-01-22 08:16:58下载
- 积分：1
-
ML2007b_CN_071024
matlab2007 b 汉化包源码要求为希望对英文很菜的新手有所帮助-(matlab2007 b finished package)
- 2011-06-05 18:10:35下载
- 积分：1
-
Image-Fusion
泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)
- 2015-04-21 12:11:50下载
- 积分：1
