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matlab_dll
调用epanet的DLL进行水力计算的简单例子( Call epanet s dll using matlab)
- 2012-05-22 11:14:45下载
- 积分：1
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matlabcode
matlab图像处理全套代码,方便快捷易操作(full set matlab image processing code to facilitate quick and easy operation)
- 2013-01-13 13:37:16下载
- 积分：1
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SysUpr
Automatic control system vapor pressure in the boiler
- 2017-01-04 14:43:12下载
- 积分：1
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cw_noise
产生带限白噪声，在matlab平台上实现(Band-limited white noise generated in matlab platform)
- 2008-05-20 19:27:04下载
- 积分：1
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FEM-MALAB-and-Mathematica
这是一本有限元分析的书，里面有Ｍａｔｈｅｍａｔｉｃａ代码和ＭＡＴＬＡＢ代码，举例丰富，内容很好。(This is a book of finite element analysis, Mathematica code and MATLAB code, for example rich content well.)
- 2013-03-17 09:36:19下载
- 积分：1
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2WLS-TDOA-Source-Location
基于两步加权最小二乘的多站时差辐射源定位算法(Two-stage weighted least squares source location)
- 2021-03-22 21:19:16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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state-spae
通过建立状态空间模型，使用simulink仿真，其中包括了kalman滤波(Through the establishment of the state space model, using the simulink simulation, including the kalman filter)
- 2011-06-09 18:56:13下载
- 积分：1
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MrlslmsA
自适应滤波的MATLAB实现现，包括lms rls 等算法
(MATLAB realization of the adaptive filter is lms rls algorithms such as)
- 2012-07-23 13:20:21下载
- 积分：1
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tcvr
Personal Communications Services (PCS) require low-power radio
technologies. One such transceiver architecture employing frequency-hopped
spread spectrum techniques is described. Low power and robustness are two keys
to a wireless personal communications device.
- 2015-04-22 20:08:10下载
- 积分：1
