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Time-domain-analysis
线性系统的时域分析法,涵盖各方面内容（包括稳定性分析）(The time-domain analysis of the linear system, covering all aspects of content (including stability analysis))
- 2013-02-09 12:20:05下载
- 积分：1
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ANPR_Codes
anpr chuong trinh nhan dang bien so
- 2011-10-03 23:48:36下载
- 积分：1
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gongyingshui
一个用matlab编写的供应水的程序，用时将data.txt文件放于D盘根目录下，或更改程序中文件的当前指向。(A supply of water using matlab program, with the data.txt file will be placed under the root directory in D, or change the program files in the current point.)
- 2011-11-04 19:02:49下载
- 积分：1
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run_lms_mvdr
LMS算法是线性自适应滤波算法和自适应滤波方法通常包括处理。(LMS algorithm is linear adaptive filtering algorithm and adaptive filtering process typically includes process.)
- 2014-12-13 22:54:26下载
- 积分：1
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velmodel
地震勘探过程中的三到四层水平速度模型的建立(Establish seismic exploration of three to four horizontal velocity model)
- 2015-01-14 16:36:53下载
- 积分：1
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PorousMediumFaultModel
PorousMediumFaultModel双向介质波场模拟 断层模型(Porous Medium Fault Model)
- 2013-12-25 16:29:08下载
- 积分：1
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MATLAB
FIR and IIR RLS algorithms are implemeted by using reference information from Simon Haykin s Adaptive Filter Theory, where a transversal filter is used for modeling the adaptive filter
- 2009-11-03 05:25:00下载
- 积分：1
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H_comp
Computing the frequency response of SRRC filter
- 2009-11-27 23:21:31下载
- 积分：1
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SIMULINK
simulink一些应用实例和相关练习
很与参考价值(simulink some application examples and related exercises are with the reference value)
- 2008-08-02 22:54:41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
