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SmartAntennas
it is the file which consists of ofdm using matlab
- 2010-08-25 14:24:29下载
- 积分:1
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Predictor_durbin
predictor linela para prosesamiento digital de señ ales en matlab con el algoritmo de durbin
- 2012-05-10 08:47:05下载
- 积分:1
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chepaitiqu
分别选取远近不同的三幅图片,用同一种方法实现汽车车牌的提取(Were selected distance of three different images, using the same method to extract vehicle license plates)
- 2013-09-03 16:28:20下载
- 积分:1
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Adaline
Red Adaline en Matlab
- 2010-09-04 06:23:02下载
- 积分:1
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Gabor-texture
使用Gabor滤波器进行纹理特征提取.
具体说明见里面的6个小程序(Gabor filter texture feature extraction)
- 2013-05-14 21:50:13下载
- 积分:1
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bp_drag_new
对fluent默认的Syamlal drag law进行曳力修正,多相流模型中(drag modify model in fluent)
- 2013-12-14 11:52:06下载
- 积分:1
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FR
说明: 共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)
- 2017-05-05 10:26:25下载
- 积分:1
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VENSFD
CA交通流模型,嗯,就是这个了。。。不错,应该行吧(CA model)
- 2014-02-09 23:49:45下载
- 积分:1
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segmentation
edge-based active contour segmentation
- 2007-03-03 01:02:19下载
- 积分:1
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yzfx1
本文件是因子分析的源代码,代码精要有注释。(Factor analysis of source code)
- 2013-08-29 11:12:54下载
- 积分:1