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LorenzeSynchroPredict
利用SIMULINK建立Lorenze系统的仿真模型,并实现同步预测(Simulink for lorenze system and synchro predict)
- 2013-09-05 10:12:51下载
- 积分:1
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ofdmce
加入了导频的matlab编程,有信道的衰减补偿(Joined the pilot of matlab programming, there is the channel attenuation compensation)
- 2011-11-28 14:51:46下载
- 积分:1
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Attachments_2012_01_15_3
matlab code for signal processing for plot signals
- 2012-11-17 02:11:14下载
- 积分:1
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Digital-image-processing_advanced-course
This is a pdf which tells about digital image processing
- 2014-02-25 13:44:38下载
- 积分:1
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Lee
Lee滤波器,Matlab实现,非常好用!(Lee Filters, Matlab implementation, very easy to use!)
- 2010-06-06 11:55:37下载
- 积分:1
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beammatlab
将梁分成9个单元,在中间受力,建立整体的刚度矩阵,建立整体模型。(The beam is divided into nine units, in the middle forces, the establishment of the overall stiffness matrix, the establishment of the overall model.)
- 2009-02-14 10:27:40下载
- 积分:1
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CDMA
MATLAB工具建立的DS-CDMA 扩频通信模型 (MATLAB tools to create a DS-CDMA spread spectrum communication model)
- 2010-12-31 13:45:55下载
- 积分:1
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fortran
卫星轨道预测模型SGP的matlab源代码,经过了验证,可行!(SGP satellite orbit prediction model of the matlab source code, after verification, viable!)
- 2009-06-22 19:19:13下载
- 积分:1
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NRZ_2_Manchester_Moore
this example exchanges the NRZ code to the MANCHESTER code with moore output
- 2010-01-29 18:46:08下载
- 积分:1
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RVM_matlabToolBox
相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分:1