-
lms
LMS算法的MATLAB实现。很经典的算法。(LMS algorithm MATLAB implementation. Classic algorithms.)
- 2009-10-17 01:34:51下载
- 积分：1
-
14.1-2
说明： 《MATLAB时频分析技术》例题matlab编程实现第十四章14.1-14.2(err)
- 2008-09-23 15:33:20下载
- 积分：1
-
ofdm128.mdl
128 subcarrier ofdm simulink model
- 2011-05-08 11:29:09下载
- 积分：1
-
propagation_Loss_3D_2012
在介质层有损耗的传输的电磁场入射反射折射的3D图(Electromagnetic field in the dielectric layer transmission loss incidence reflection refraction 3D map)
- 2014-11-13 00:05:34下载
- 积分：1
-
LZ78
本程序简单地实现了LZ78编码的功能，包括从文件输入以及输出(This program implements the LZ78 encoding simple features, including file input and output from)
- 2010-12-23 19:10:04下载
- 积分：1
-
find--k-best-1.00
Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm.
Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc.
Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann
Can be used both from Java or Matlab.
Time for a 100x100 assignment problem, with k=20:
• Matlab implementation: 54.5 sec
• Java implementation: 1 sec
- 2012-06-11 02:34:33下载
- 积分：1
-
AsynchronousMachineModel
Asynchronous machine_model
- 2010-05-27 03:09:35下载
- 积分：1
-
VQ
说明： program c++ for vector quantization use k-means
- 2015-04-19 21:37:55下载
- 积分：1
-
ransac3
利用RANSAC算法鲁棒性的计算两幅视图间的基本矩阵，本代码含有7点算法，8点算法(RANSAC algorithm using the calculation of robust fundamental matrix between two views, this code contains the algorithm 7, 8-point algorithm)
- 2010-08-14 21:03:17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
