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ch2
离散信号及其Matlab实现,包括单位冲激序列
,单位阶跃序列,斜坡序列等(Discrete signal and its Matlab to achieve, including the unit impulse sequence, unit step sequence, the slope sequence)
- 2008-01-25 21:49:32下载
- 积分：1
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jielianguandao
捷联惯导仿真程序，可以比较好的帮助理解捷联惯导的原理，主要参考陈哲老师的捷联惯导原理(Strapdown inertial navigation simulation program, can help to understand better the principle of strapdown inertial navigation, strapdown references Chen Zhe teacher inertial navigation principle)
- 2013-07-15 23:36:37下载
- 积分：1
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SVMcgForClass
本代码实现了SVM分类算法实现寻找最佳的c和g。(SVM Classification Algorithms to Find the Best C and G)
- 2019-04-28 17:04:12下载
- 积分：1
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Application_Guide_2008
介绍了PSCAD基本的模块和各个部分的功能，并提供了一些具体的例子可以进行操作练习。(PSCAD introduced the basic modules and functions of various parts, and provides some specific examples of practice can operate.)
- 2010-08-26 10:01:30下载
- 积分：1
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collor
说明： collor hist
- 2010-04-04 21:09:46下载
- 积分：1
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DE
说明： DE Algorithm engine for LP and ILP
- 2011-06-10 18:26:59下载
- 积分：1
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2 RBF神经网络
说明： RBF神经网络例子，有助于学习径向基神经网络。matlab实现学习例程。(An example of RBF neural network is helpful to learn radial basis function neural network)
- 2021-01-29 16:28:34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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twodimensionMATLABKALMANFILTER
说明： 在MATLAB下实现的KALMAN滤波，一个二维平面(In MATLAB to achieve the Kalman filter, a two-dimensional plane)
- 2008-10-21 15:34:53下载
- 积分：1
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Xfoil-Interface
翼型气动计算软件XFOIL的Matlab界面(Airfoil interface with Matlab computing software XFOIL)
- 2021-03-02 12:09:33下载
- 积分：1
