-
UDFS
unsupervised local discriminative analysis
each column is a data
- 2013-10-03 10:08:00下载
- 积分:1
-
Simulation_FOC
simulation direct foc in Matlab
- 2012-01-09 22:59:00下载
- 积分:1
-
bfltColor
Two dimensional bilateral filtering for colour images
- 2014-01-28 16:38:19下载
- 积分:1
-
bpskd
bpsk modulation in matlab
- 2009-07-10 15:57:20下载
- 积分:1
-
Simulation_code_DSB_SC
DSB-SC Modulation Matlab code
- 2014-02-13 02:13:44下载
- 积分:1
-
DijkstraPlan
说明: 实现二维的避障路径规划,自己规划障碍物形状和选择点,利用轮盘赌迭代出最优路径。(Realizing two-dimensional obstacle avoidance path planning)
- 2019-03-04 20:50:38下载
- 积分:1
-
sldemo_antiwindupactuatorB
Explores the anti-windup capabilities supported by the PID Controller block in Simulink.
The block features two built-in anti-windup methods, back-calculation and clamping, as well as a tracking mode to handle more complex scenarios
- 2013-07-31 20:29:54下载
- 积分:1
-
jicebianliuqi
永磁同步电机基侧变流器simlink仿真,可直接运行(PMSM base side converter simlink simulation can be run directly)
- 2015-04-16 21:00:49下载
- 积分:1
-
mixture_of_gaussians
Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.
- 2010-06-29 12:18:43下载
- 积分:1
-
tri
平面三角形板壳单元的单元刚度矩阵和质量矩阵程序,matlab(The stiffness and mass matrices of the flat triangular shell element procedures, Matlab)
- 2012-05-25 20:19:29下载
- 积分:1