-
bayes_demo
目标跟踪的扩展卡尔曼滤波算法主函数的文件是：kal_demo.m
近似网格滤波的主函数文件是：bayes_demo.m
近似网格滤波划分网格的方法是：以目标上一个时刻的位置作为中心进行网格的划分，每个网格大小为1，总的区域为5*5
改进后算法的主函数文件是：trackiing_demo.m(Target tracking extended Kalman filter algorithm is the main function of the document: kal_demo.m approximate mesh filter paper is the main function: bayes_demo.m approximate mesh filter into the grid method is: in order to target the location of a moment as the central to carry out the division of the grid, each grid size of 1, with a total area of 5* 5 to improve the algorithm)
- 2007-09-30 11:20:49下载
- 积分：1
-
work
MATLAB语音信号处理功能，本人学生，哭求一课程设计，望站长成全，给我个下载的机会，(MATLAB speech signal processing functions, I students, curriculum design to cry for one, hope Chengquan head, give me a chance to download,)
- 2008-06-30 10:29:07下载
- 积分：1
-
MATLAB
MATLAB N个实用技巧--MATLAB中文论坛精华总结(it is useful for new learner )
- 2014-09-10 16:00:52下载
- 积分：1
-
这是一个关于图像边缘检测的小程序，希望对大家有所帮助
这是一个关于图像边缘检测的小程序，希望对大家有所帮助-This is an image of a small edge detection procedures, we hope to help
- 2023-09-03 09:45:03下载
- 积分：1
-
gawnn
说明： 非常实用的小波网络与遗传算法结合源程序,很简练(A source code of GA wavelet neural network )
- 2010-04-15 16:36:57下载
- 积分：1
-
航天工程工具箱
matlab航天工程工具箱，相信对航天，卫星仿真的人能有用(Matlab toolbox aerospace engineering, I believe the space, satellite simulation can be useful)
- 2007-06-21 23:45:43下载
- 积分：1
-
DBSCAN-CODE
说明： DBSCAN是一个比较有代表性的基于密度的聚类算法。与划分和层次聚类方法不同，它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类。(A representative clustering algorithm based on DBSCAN is density. Different from the partition and hierarchical clustering methods, it defines a cluster as the largest set of density connected points. It can divide the region with enough high density into clusters, and can find clusters of arbitrary shape in the spatial database of noise.)
- 2020-09-29 09:13:35下载
- 积分：1
-
Run Length Code
循环冗余检查是一种错误检测代码，用于检测对原始数据的意外修改；
- 2022-05-16 12:39:07下载
- 积分：1
-
SpeedControl
Pulse Modulated Signal Mfile
- 2010-09-21 18:07:00下载
- 积分：1
-
OFDM_signal
Orthogonal Freq, Division signal
- 2013-07-10 18:55:44下载
- 积分：1
|
联系客服（QQ：3324461878）
