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graham
这是我用matlab写的一个寻找凸包算法的实现，该算法是基于graham算法的一个改进(the source realize an improvement algorithm of searching convex hull which based on graham algorithm in matlab)
- 2012-05-18 13:26:48下载
- 积分：1
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ex9
说明： 熟悉MATLAB信息统计分析的各种命令；会用MATLAB的信息统计分析的命令进行各种信息统计分析。(Familiar with a variety of statistical analysis of MATLAB command information will use the information MATLAB commands statistical analysis statistical analysis of all kinds of information.)
- 2011-03-23 13:56:59下载
- 积分：1
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matlabhanshuji
MATLAB基本函数集，对学习MATLAB指令有很大的帮助！！！(Basic set of MATLAB functions, MATLAB commands to learn a great help! ! !)
- 2011-08-17 12:55:31下载
- 积分：1
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Desktop
说明： 用fft进行特征提取，并画出相应的图。再进行神经网络分类(FFT is used to extract features and draw corresponding graphs.)
- 2019-04-24 17:15:54下载
- 积分：1
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HHT
希尔伯特-黄变换源代码，每一步都很详细，对初学者有很大帮助(Hilbert- Huang Transform source code, each step is very detailed and very helpful for beginners)
- 2010-09-20 11:00:44下载
- 积分：1
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matlab
包含matlab初学的一部分资料，适合入手时作为辅助资料使用(resource for news)
- 2011-06-23 23:07:41下载
- 积分：1
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Wireless_OFDM.tar
implementation of OFDM
- 2012-06-16 11:23:47下载
- 积分：1
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cudb
MIT-BIH CUDB 详细心电信号，可用于分类VT/VF 与 NSR(MIT-BIH CUDB detailed ECG can be used to classify VT/VF and NSR)
- 2014-10-30 10:25:15下载
- 积分：1
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secant
In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f.(The secant iteration to find the zero of some non-linear function converges to zero if appropriate starting values are chosen.
Although the convergence rate is not as good as the one of the Newton method, it may sometimes converge when Newton fails. The funtion should be defined as an inline function and two starting values are required to start the iteration.
Please enter help secant from the Matlab prompt for usage information and examples.
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- 2009-05-14 04:56:54下载
- 积分：1
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Class_Cover_PSO_FNN
基于类覆盖算法和粒子群优化的神经网络解决模式分类问题(algorithm based on the type coverage and PSO the neural network model to solve classification problems)
- 2020-07-04 10:40:02下载
- 积分：1
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