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SSDSADNCCMatlab
立体匹配算法中比较经典的块匹配方法。其中包含了比较有名的ＳＡＤＳＳＤ算法－－－即左右视图中逐一比对像素数值，从而求得最小ｄｉｓｐａｒｉｔｙ 继而得到ｄｅｐｔｈ。(ＳＳＤＳＡＤ methods present in this file,which are improtant in the stereo matching-----we obtain the disparity with the difference of the intensity between the left and right images )
- 2010-10-15 17:03:13下载
- 积分：1
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daonaijuzhentongyongchengxu
告诉支路阻抗的节点导纳矩阵求解的通用程序。(Tell branch node is the impedance matrix of the general program admittance)
- 2010-10-17 23:27:40下载
- 积分：1
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beamforming1
beamforming by LMS algorithm in CDMA communication
- 2010-12-17 02:03:54下载
- 积分：1
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Neural-network
神经网络变量筛选—基于BP的神经网络变量筛选,MATLAB的经典算法(Neural network variable selection- based on BP neural network variable selection, MATLAB classical algorithm)
- 2013-10-20 00:04:01下载
- 积分：1
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asmyeni1
induction motor m-file simulation
- 2011-12-07 22:46:25下载
- 积分：1
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Matlab
说明： MATLAb用法函数介绍,及其用法，还有比较(Matlab some hanshu for program only)
- 2011-03-24 23:13:55下载
- 积分：1
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untitled
本程序是一个直接扩频序列仿真包，直接序列扩频的mdl文件，未设参数(This procedure is a direct sequence spread spectrum packet simulation. Need matlab installed can only be used simulink.)
- 2011-12-21 00:03:36下载
- 积分：1
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matlab-gauss
matlab-gauss,实现matlab上的gauss迭代法(Matlab- gauss, the realization of Matlab gauss iterative method)
- 2007-05-09 20:32:35下载
- 积分：1
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UDRRS
This is a compact code for reliability analysis based on the stochastic response surface method (SRSM) which first uses the univariate dimension reduction (UDR) to decompose the multidimensional performance function into multiple one-dimensional univariate functions and then employes the cubic spine interpolation to approximate the one-dimensional univariate functions.. One mathematical example is solved for demonstration purpose.
- 2013-03-15 10:04:52下载
- 积分：1
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ContrastStretchNorm
Stretches contrast on the image and normalize image from 0 to 1. The main difference of this function to the standard stretching functions is that standard function finds global minimum and maximum on the image, then uses some low and high threshold values to normalize image (values below LowTHR are equated to LowTHR and values above HighTHR are equated to HighTHR)
- 2013-12-17 20:48:22下载
- 积分：1
