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sfunction_example
一个简单的s-function的范例，足够多的说明可以将其作为其他s-function的模板(A simple example of s-function, and a sufficient number of instructions can be used as template for other s-function)
- 2014-02-19 17:58:37下载
- 积分：1
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rician
移动通信中的瑞利信道仿真模型的matlab程序(Mobile communications in Rayleigh channel simulation model matlab program)
- 2007-10-19 23:59:42下载
- 积分：1
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dsp
Digital signal processing
- 2011-11-04 06:57:22下载
- 积分：1
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turbocode
turbo编码，可以根据不同应用产生1/2或者1/3码率的turbo码(the turbo program of matlab, can be used to prodece the turbo code with code rate of 1/2 and 1/3)
- 2011-11-08 15:19:13下载
- 积分：1
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MATLAB-program
matlab program 书籍 中文版实用教程 入门级matlab数学建模同学必看(matlab program Practical Guide Books Chinese edition entry-level mathematical modeling matlab student must see)
- 2014-12-09 17:53:13下载
- 积分：1
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mtkl
蒙特卡罗算法matlab实例，介绍了matlab的蒙特卡罗算法的具体使用方法(Monte Carlo algorithm matlab example, introduced the specific use of the Monte Carlo algorithm matlab)
- 2013-05-06 09:46:50下载
- 积分：1
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icp
Iterative closest point in MATLAB
- 2011-01-12 15:05:44下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
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lowpass
实现低通滤波器，可以与PRony分析搭配使用，滤除信号中的高频分量。(Low-pass filter used in conjunction with the PRony analysis to filter out high frequency components in the signal.)
- 2012-05-23 19:34:01下载
- 积分：1
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1
说明： 神经网络进行产量的Matlab源代码
BP 神经网络用于预测
(Neural network output of Matlab source code
for BP neural network to predict)
- 2010-09-11 15:22:36下载
- 积分：1
