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forward_test
demonstrates the forward difference method
- 2010-02-08 16:54:58下载
- 积分:1
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joke
说明: 本人以前做的一个笑话站,数据本人已清空,非常简洁好用!(I used to do a joke station, the data I have clear, very simple and easy to use!)
- 2010-03-29 21:40:20下载
- 积分:1
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Matlab-Use-Guider
说明: 详细介绍了matlab的使用,非常适用于初学者。(Details the use of matlab, ideal for beginners.)
- 2011-03-06 19:45:41下载
- 积分:1
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tofloat-matlab
冈萨雷斯数字图像处理第二版中的tofloat函数,原书配带的函数式p文件,此处已经转为M文件。(Gonzalez Digital Image Processing Second Edition tofloat function, a function of the original book equipped with p-type documents, here has been converted to M-file.)
- 2013-08-30 17:07:23下载
- 积分:1
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Kmeans
K-MEANS 算法matlab版本 注释详尽(K-MEANS algorithm matlab detailed release notes)
- 2013-09-10 19:41:36下载
- 积分:1
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一个人脸模型分析matlab例程
保证准确无误,是学习通信的好帮手,多元数据分析的主分量分析投影,基于负熵最大的独立分量分析,一个很有用的程序,使用高阶累积量对MPSK信号进行调制识别,采用累计贡献率的方法。
- 2022-10-01 07:55:03下载
- 积分:1
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TheNURBSBook
工程界几何模型参数化用到的NURBS曲线生成的理论和相关源代码。可用以翼型参数化、船舶外形参数化等(the theory of NURBS curve generation and the related source code for Engineering of geometric model parameterization . Airfoil parameterization and ship shape parameterization can be used )
- 2009-12-28 16:23:33下载
- 积分:1
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tranfer
说明: 用Matlab实现阴历和阳历相互转换,里面有注释可供参考(Using Matlab to achieve conversion between the lunar and solar calendar, which has notes for reference)
- 2010-04-25 16:17:53下载
- 积分:1
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Indian
使用基于词典的稀疏表示高光谱图像分类,多任务联合稀疏表示和逐步MRF优化的高光谱图像分类(Dictionary-based sparse representation hyperspectral image classification, multi-task joint sparse representation and stepwise MRF optimized hyperspectral image classification)
- 2018-04-01 20:51:42下载
- 积分:1
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kxakpcmq
BP神经网络用于函数拟合与模式识别,包含了阵列信号处理的常见算法,具有丰富的参数选项,在matlab R2009b调试通过,可以广泛的应用于数据预测及数据分析,FMCW调频连续波雷达的测距测角。( BP neural network function fitting and pattern recognition, Contains a common array signal processing algorithm, It has a wealth of parameter options, In matlab R2009b debugging through, Can be widely used in data analysis and forecast data, FMCW frequency modulated continuous wave radar range and angular measurements.)
- 2016-03-15 20:44:49下载
- 积分:1