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Wiener_driver
Wiener filter in signal processing
- 2009-05-20 16:14:15下载
- 积分：1
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matlab-code
最优化控制及其matlab实现，里面有很多程序的代码，很实用，希望大家多交流学习(Control and optimization matlab realize, there are many program code, very useful, I hope to learn more exchanges)
- 2013-07-20 16:41:53下载
- 积分：1
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BendersDecomposition
用benders分解法求解0-1整数规划问题(0-1 integer programming problem using benders decomposition method)
- 2014-08-22 16:17:25下载
- 积分：1
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MUSIC算法与MMUSIC算法的测向功能对比 duibimmusic
相干信号的DOA估计，MUSIC算法与MMUSIC算法的测向功能对比(DOA estimation of coherent signals, compared with MMUSIC algorithm MUSIC algorithm finding function)
- 2020-06-28 10:20:01下载
- 积分：1
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mm3c10
说明： 11电平MMC控制方法以及电容均压策略。(11 level MMC control method and capacitor voltage sharing strategy.)
- 2020-06-23 17:02:49下载
- 积分：1
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Matlab
This is very useful book for engineer and scientist, is signal processing area.
- 2009-05-12 22:03:33下载
- 积分：1
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singleNPC
说明： 实现三电平整流功能，相对于两电平，电平数更多，谐波更小(Achieve three-level rectification function, with more levels and less harmonics than two levels)
- 2019-05-23 10:43:40下载
- 积分：1
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StudyondatafusionalgorithmofradarandIRI
文章介绍了卫星多传感器数据融合研究，比较详细(This paper introduces the satellite multi-sensor data fusion research, more detailed)
- 2008-04-22 16:04:32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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optimization demos
说明： 介绍采用matlab语言，来实现优化算法，有很好的例子程序，对学习优化算法很有帮助(introduction to Matlab language, to achieve optimization algorithm, a very good example of procedure, to learn useful optimization algorithm)
- 2005-12-16 17:08:08下载
- 积分：1
