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LOAD_FLOW_SOLUTION
Worked a load flow problem for n-element generation and consumption with losses in the lines. The zip file contains all the files needed to solve any problem of load flow. Comments in Spanish.
- 2010-05-10 21:19:30下载
- 积分：1
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webcom
只是一个图象处理以及视频截取图象的程序。(only a video image processing and image interception procedures.)
- 2007-04-05 14:04:10下载
- 积分：1
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EulerMinMaxLungSeg
本程序是matlab下运行的肺部X-RAY分割算法，可以参考一下。(lung segmentation X-RAY)
- 2011-07-14 15:38:40下载
- 积分：1
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eslabprgms
visual c++ FOR EMBEDDED SYSTEMS AND FOR REAL TIME APPLICATIONS
- 2013-08-26 22:03:52下载
- 积分：1
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matlab-book
MATLAB学习书籍，从入门到精通，绝对实用(study book)
- 2013-11-01 11:11:36下载
- 积分：1
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kl.sid
system identification base least square error on step peridiction
- 2014-02-10 23:40:01下载
- 积分：1
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jihekalmangujiK
系统参数变化，用集合卡尔曼滤波器估计其变化(System parameters used to estimate the changes in the ensemble Kalman filter)
- 2013-12-25 00:12:24下载
- 积分：1
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hua-FFT
说明： 快速傅里叶变换的子程序，直接在主函数中调用即可直接绘制信号的频谱图。(The subroutine of the fast Fourier transform can directly draw the spectrum of the signal by calling it directly in the main function.)
- 2021-03-07 14:49:30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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matlab-SIS
matlab 用于sis模型的研究 一篇论文 希望有用(matlab sis)
- 2011-07-21 10:11:38下载
- 积分：1
