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cSharp-GUIP-instrument-panel
c# GUI+ 多种仪表盘,很难找的仪表盘,也很实用(c# GUI+ variety of dashboard, it is difficult to find the instrument panel, but also very practical)
- 2013-10-03 20:47:01下载
- 积分:1
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shuzituxiangchuliyujiqishibie
数字图像处理和机器识别C++和matlab识别书籍第一部分,讲解详尽,适合学习(Digital image processing and machine identification C++ and matlab identification books first part, explain the detailed, suitable for learning)
- 2013-10-17 21:51:50下载
- 积分:1
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jianmopinjie
参加数学建模大赛获奖,提供图像的拼接的matlab源代码,有很大价值(Participate in mathematical modeling contest winners, providing an image stitching matlab source code, there is great value)
- 2015-04-11 18:53:13下载
- 积分:1
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feiji
使用GS理论简单实现相位重建的算法,图片包含在内(Simple Phase Reconstruction Using GS Theory)
- 2020-06-21 00:40:02下载
- 积分:1
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gaussslegendre
matlab实现gauss型积分公式,取直交多项式为lengendre多项式,由三项递推公式得出(To achieve the gauss-legendre integral formula in matlab which is founded by recursive formula.)
- 2009-05-30 23:48:56下载
- 积分:1
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2046
本文详细阐述了小波神经网络在脑电信号数据压缩与棘波识别中的应用(This paper describes the neural network in EEG data compression and spikes Recognition)
- 2010-05-10 11:28:39下载
- 积分:1
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matlab
通过信号星座图来比较PSK和PAM对相位噪声的敏感程度(By PSK signal constellation diagram to compare and PAM on the sensitivity of phase noise)
- 2010-05-13 10:38:01下载
- 积分:1
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四阶Runge-Kutta方法(微分方程)
说明: 四阶Runge-Kutta方法(微分方程),并有例题(Fourth-order Runge-Kutta method (differential equation) with examples)
- 2019-12-10 22:53:41下载
- 积分:1
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kmedian
The method works as follows.
1. For a data set with dimensionality, d, compute the variance
of data in each dimension (column).
2. Find the column with maximum variance call it cvmax
and sort it in any order.
3. Divide the data points of cvmax into K subsets, where K is
the desired number of clusters.
4. Find the median of each subset.
5. Use the corresponding data points (vectors) for each
median to initialize the cluster centers.
- 2013-08-10 03:45:31下载
- 积分:1
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cpso
惯性PSO算法是个常用的PSO算法,具有高效性,十分简便易懂(Inertia PSO algorithm is commonly used in the PSO algorithm is highly efficient, very easy to understand
)
- 2012-02-14 13:19:02下载
- 积分:1