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Yale
这是一个模式识别中关于主成分分析的特征提取的matlab源码 (This is a pattern recognition principal component analysis on the feature extraction matlab source)
- 2010-06-02 09:14:08下载
- 积分:1
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unlinercontrol
非线性系统鲁棒无模型学习自适应控制论文,内容见附件(Nonlinear systems model-free learning adaptive control study, the content of Annex)
- 2010-11-11 01:14:27下载
- 积分:1
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testdynamic
matlab与vc联合编程 实现图形的动态显示(matlab and graphics vc joint programming to achieve the dynamic display)
- 2007-11-23 20:06:19下载
- 积分:1
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bp_filter
说明: 带通滤波。该程序用matlab实现梯形窗的带通滤波,可以直接调用(Band-pass filter. Trapezoidal matlab implementation of the program window with a band-pass filter, can be called directly)
- 2011-02-23 15:02:58下载
- 积分:1
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gsmc
基于一个二阶线性系统实例,介绍了全程滑模变结构控制,实现了系统的鲁棒性特点。(Global sliding mode variable structure control, based on a second order linear system instance, the robustness of the system characteristics.)
- 2013-03-05 09:37:16下载
- 积分:1
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4.3
主要用途是对抗多径衰落。由于多径衰落的存在,使得同一个帧由于路径不同,到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰,影响 性能。另外,由于有了循环前缀,使得IFFT FFT操作把原来的线性卷积变成循环卷积,大大简化了相应的信号处理复杂度(The main purpose is to fight against multipath fading. Due to the presence of multipath fading, the first after they have the same frame different paths to reach the client delay. Would cause mutual interference between sub-carriers in the frequency domain, affecting performance. In addition, thanks to the cyclic prefix, so IFFT FFT operation to the linear convolution of the original into a circular convolution, greatly simplifying the corresponding signal processing complexity)
- 2012-08-24 15:17:41下载
- 积分:1
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matlab-and-vcPP
将matlab与vc++结合各自发挥特长,实现强大的界面控制的数字图像处理功能。(Matlab and vc++ respective strengths, powerful interface control digital image processing functions.)
- 2013-05-01 10:56:23下载
- 积分:1
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oven_VCPP
焦炉加热燃烧过程即时模型设计,把焦炉温度的实时数据生成温度曲线,实现了VC++与matlab的混合编程(Instant combustion process of coke oven model design)
- 2013-09-04 15:03:25下载
- 积分:1
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bch_erasures
任意长度的rs码编译码,编译通过,易于扩展学习(s codes and decoding of any length, compile, easy to extend learning)
- 2015-03-17 17:17:31下载
- 积分:1
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Matlab-runcode
A new method for analysing nonlinear and non-stationary data has been developed.
The key part of the method is the `empirical mode decomposition method
with which any complicated data set can be decomposed into a nite and often
small number of `intrinsic mode functions that admit well-behaved Hilbert transforms.
This decomposition method is adaptive, and, therefore, highly ecient.
- 2014-11-29 22:18:46下载
- 积分:1