-
matlab
matlab的各种mdl源代码,经典例题(example for matlab)
- 2012-06-30 12:29:55下载
- 积分:1
-
Contourlet
非下采样轮廓波变换的应用,可以对该变换有一个很好的理解(Transform under the profile of non-sampling applications, the transformation can have a good understanding of)
- 2010-09-17 23:35:07下载
- 积分:1
-
kaiser
kaiser window technique
- 2010-11-14 04:56:46下载
- 积分:1
-
HighOrderStatistic
本算法是用于求解四阶累积量的,主要应用在DOA估计。(This algorithm is used to DOA estimation,and it can solve 4th-roder-cumulant )
- 2012-03-21 15:40:21下载
- 积分:1
-
enargie_soleil
programme pour calcule
sunrise sunset soleil
- 2012-01-05 08:37:31下载
- 积分:1
-
ElectronicsandCircuitAnalysisusingMATLAB
Matlab book Engineering Matlab Programming Engineering Matlab Programming
- 2009-03-19 19:54:21下载
- 积分:1
-
cuckooMain
Therefore, the
Z-source inverter can buck and boost voltage to a desired output
voltage that is greater than the available dc bus voltage
- 2015-01-18 23:46:55下载
- 积分:1
-
medical-graphics-treat
说明: 医学图像处理各种程序 Medical image processing a variety of procedures(Medical image processing a variety of procedures)
- 2011-03-14 14:59:28下载
- 积分:1
-
psat-2.1.6-mat
matlab的psat软件用于潮流计算,连续潮流计算,小扰动分析,分岔分析等等,方便实用(The psat matlab software for flow calculation, continuous flow calculation, the small perturbation analysis, bifurcation analysis, etc., convenient and practical)
- 2014-01-05 14:46:25下载
- 积分:1
-
ukf
An implementation of Unscented Kalman Filter for nonlinear state estimation.
(Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system.
The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF.
For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)
- 2010-12-14 16:39:43下载
- 积分:1