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gauss
This can be used to de-noise the image. Other three methods are also used for de-noiseing,
- 2011-03-22 13:46:54下载
- 积分：1
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xiaobomo
信号经小波变换后的模值,小波模最大值（信号突变点）对应的时刻(Signal by the wavelet transform modulus values , the wavelet modulus maximum (signal corresponding to the mutation) time)
- 2012-04-19 21:25:24下载
- 积分：1
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CS4VM
this rar file contains matlab code for face recognition using CS4VM. here the implementation was done by using CS4VM method of face recognition.
- 2013-07-16 17:50:16下载
- 积分：1
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delete
code for
rssi cALCULATION TO GET IT
- 2015-04-08 19:32:03下载
- 积分：1
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simulink
用于汽车平顺性计算的随机路面谱的simulink模型(Simulation model of vehicle ride comfort road simulink)
- 2017-09-12 15:31:28下载
- 积分：1
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enginface
特征脸人脸识别程序源码，开发环境为matlab环境(Eigenface face recognition program source code, development environment for the matlab environment)
- 2010-06-07 12:55:43下载
- 积分：1
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digital
延时微分方程离散化求根，用零阶保持器将延时微分方程离散化，然后求取其有限个根(delay differential equation descreted solving)
- 2012-05-20 13:56:14下载
- 积分：1
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蝙蝠算法Bat
说明： 蝙蝠算法求解最优化问题，本代码是用于求解目标函数(Bat algorithm solving objective function)
- 2019-11-29 09:56:13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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PUGUJI
现代谱估计研究中的经典方法研究仿真，如均方差等。(Modern Spectral Estimation of classical methods of simulation studies.)
- 2015-03-06 15:49:25下载
- 积分：1
