-
SIR
基于，最大化SIR方法的盲波束自适应波束形成算法(Maximum SIR adaptive beamforming)
- 2015-03-03 15:45:58下载
- 积分：1
-
ct
说明： 可根据所给参数绘制出头模型图形，并对其进行投影和反投影重建的算法，可正常运行，得到较为理想的结果。(Can be drawn according to the parameters of his early model of graphics, and its projection and back projection reconstruction algorithm, running, get more desirable results.)
- 2010-11-14 14:22:24下载
- 积分：1
-
roboticPtoolboxPforPmatlab
matlab 工具箱 可以实现 机器人关节云图的创建于轨迹(matlab toolbox enables the creation of robot joint cloud on track)
- 2013-08-13 23:20:15下载
- 积分：1
-
ex_18_4
测量角度：读取图像并选择含有角度的区域，求取角的直线边界，计算直线间的角度。(Measuring angles: read image and choose contain Angle of regional and calculating the Angle between the line, line border calculation.)
- 2010-09-07 15:16:39下载
- 积分：1
-
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
-
neural-network-handouts
神经网络讲义，共八讲，主要讲述了神经网络发展史以及几个经典的人工神经网络(Neural network handouts, a total of eight speakers, mainly about the history of neural networks as well as several classic artificial neural network)
- 2013-08-19 21:34:09下载
- 积分：1
-
test_example_DBN
the test example code of dbn net, it is the example code in matlab
- 2014-10-21 11:40:08下载
- 积分：1
-
k-means
K means matlab code for image processing
- 2012-01-23 15:15:59下载
- 积分：1
-
rs54
matlab rough set 粗糙集代码 matlab实现(this is a rar for rough set using matlab )
- 2012-09-12 15:17:40下载
- 积分：1
-
RepetitiveControlSimulink
重复控制的实现。提供matlab源码实现，及simulink实现。(RepetitiveControl realization.)
- 2021-04-20 19:08:50下载
- 积分：1
