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fft
用MATLAT编的FFT程序，在MATLAB环境下可以显示波形。()
- 2008-06-06 10:12:10下载
- 积分：1
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getBaseKernel32
Get kernell 32 in Windows
- 2014-01-09 10:27:47下载
- 积分：1
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APF(instantaneous-power)
学习APF过程中的读书笔记和SIMULINK仿真模型(瞬时功率理论)(APF process of learning reading notes and SIMULINK simulation model (Instantaneous Power Theory))
- 2013-05-24 14:49:59下载
- 积分：1
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test1_s
terminal滑膜控制例程，以简单的二阶方程为例，包含了非奇异控制(terminal synovial control routine, a simple second-order equations, for example, contains a non-singular control)
- 2021-04-16 16:18:53下载
- 积分：1
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emd
earth mover s distance
- 2020-11-14 14:19:42下载
- 积分：1
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mikezerotools-v0[1].5beta
说明： MATLAB语言下的(有源码):Mike Zero系列软件的前后处理 GE中岸线与MIKE岸线相互转换 Mapinfo与MIKE中数据相互转换.(对学习MIKE与学习MATLAB编程人皆有帮助,且有说明)(Under the MATLAB language (with source): Mike Zero series before and after the deal with GE software in the shoreline and the shoreline MIKE and MIKE conversion Mapinfo data conversion. (On learning and learning MIKE everyone to help MATLAB programming, and there explanation))
- 2008-09-18 09:41:01下载
- 积分：1
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qiuzhuangmoxingnihe
地统计学中使用MATLAB做球状模型拟合代码(To use MATLAB to do statistical model fitting spherical code)
- 2011-04-23 11:32:27下载
- 积分：1
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ofdm_sim
说明： OFDM的仿真，这种技术wimax已经采用，未来的4G肯定也是基于这种技术。附件是源代码，仅供大家参考！ (OFDM simulation, WiMAX technology has been adopted as the future 4G is definitely based on the technology. The annex to the source code, only your reference!)
- 2005-10-16 18:26:39下载
- 积分：1
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DMC
DMC的matlab实现,很实用的matlab代码(DMC s matlab realize, very practical matlab code)
- 2013-01-31 11:21:25下载
- 积分：1
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spam-classification--matlab
机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip)
http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html
该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。
(Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)
- 2020-12-15 21:29:16下载
- 积分：1
