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nc_tanker
Neural control (reinforcement learning) for tanker heading
- 2010-01-12 02:47:07下载
- 积分：1
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ipixload
ipix数据载入以便于使用此来进行杂波编程(ipix datesets download)
- 2012-04-05 20:08:31下载
- 积分：1
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xiaobo
这是一个小波变换的程序，滤去噪声实现语音增强(This is a wavelet transform procedures, filter out the noise to realize speech enhancement)
- 2012-04-11 20:06:59下载
- 积分：1
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EKF-SLAM-Simulator
说明： 本程序包设计了一个利用Matlab编写的基于EKF的SLAM仿真器，可用于机器人的路径规划的仿真实验设计。(This package designed a written Matlab, the SLAM EKF-based simulator can be used for robot path planning simulation design.)
- 2011-03-06 15:12:05下载
- 积分：1
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aparat-0.3.1
TKK Voice Source Analysis and Parametrisation Toolkit (Aparat) is a
voice inverse filtering and parametrisation software developed at
Helsinki University of Technology (TKK) Acoustics and Audio Signal
Processing Laboratory, Espoo, Finland. It is especially useful in
rapid inverse filtering and parametrisation of large amounts of
pre-segmented vowels.
- 2011-05-06 07:01:25下载
- 积分：1
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pmsm
在matlab2011b环境下 搭建了永磁同步电机空间矢量调制的仿真模型，仿真效果比较满意。另外根据需要自己搭建了pmsm的电机本体模型。(In matlab2011b environment to build a simulation model of permanent magnet synchronous motor space vector modulation, simulation results were satisfactory. Also, according to the need to build their own model of pmsm the motor body.)
- 2014-12-19 15:21:33下载
- 积分：1
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FIR
基于matlab GUI的一个滤波，运用FIR和IIR算法(A filter based on matlab GUI, use of FIR and IIR algorithm
)
- 2013-05-14 23:27:34下载
- 积分：1
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kmeans
用matlab对于FCM代码实现，不同于matlab中库函数(Used matlab code for FCM realize, unlike in matlab library function)
- 2007-08-27 16:01:22下载
- 积分：1
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mohukongzhi
本人模糊控制的课堂作业，基于Sugeno（TSK）推理的模糊控制器(I am working class of fuzzy control, based on Sugeno (TSK) inference of the fuzzy controller)
- 2010-05-06 15:30:21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
