-
peizhun
说明: 图像配准-GUI界面,最优化算法,互信息尺度,POWELL.m附属子程序,PSO.m附属子程序,对图像进行“平移”和“旋转”(Image Registration- GUI interface, optimization algorithms, mutual information scale, POWELL.m subsidiary subroutine, PSO.m subsidiary subroutine, the right image "translation" and "revolving")
- 2006-03-18 20:33:32下载
- 积分:1
-
Radon
根据RADON变化思想,对三种倾斜方式提出了相应的校正方法(RADON change according to ideology, the three inclined manner corresponding correction)
- 2010-08-05 15:38:30下载
- 积分:1
-
simplemulti-kernel-svm
经典的多核学习工具箱,功能强大,内容全面(The classic multi-core learning toolbox, powerful, comprehensive)
- 2013-07-27 10:32:55下载
- 积分:1
-
1
说明: matlab一些简单的心理测试游戏程序,适合初学者(matlab for the beginner)
- 2012-11-24 15:29:28下载
- 积分:1
-
powerflowcalculation
说明: POWER FLOW CALCULATION OF AT TRACTION NETWORK FOR HIGH-SPEED RAILWAY
- 2019-11-08 17:19:40下载
- 积分:1
-
Kmeans分类聚合算法matlab程序
供做算法研究人员参考,计算多重分形非趋势波动分析,使用拉亚普诺夫指数的公式,连续相位调制信号(CPM)产生,对HARQ系统的吞吐量分析,DC-DC部分采用定功率单环控制。
- 2022-05-31 23:02:39下载
- 积分:1
-
acoustic
用matlab绘制海洋声线的程序,是水声工程专业的人必须要掌握的(Marine acoustic line drawn using matlab procedure is Acoustics Engineering professional people must master)
- 2013-08-28 20:13:42下载
- 积分:1
-
人脸识别的matlab代码
人脸识别的matlab代码包括gabor以及神经网络。
- 2022-03-18 06:48:15下载
- 积分:1
-
语音信号处理工具箱
语音信号处理的各种功能,适合做语音识别或转换参数提取等等功能
- 2022-12-22 02:10:03下载
- 积分:1
-
Gaussian Mixture Probability Hypothesis Density Filter
This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.
I made a few changes, either because I couldn"t understand how Vo&Ma did it, or because I wanted to make it closer to my target problem. I extended the measurement vector to include both target position AND velocity (the filter they describe tracks position and velocity but only observes position). Velocity is observed as just being dx/dt, change in position over time, between this new observation and the previous position of this target. Targets are either birthed or spawned depending on which initialisation weight function would give a higher weight; they are given the appropriate initialisation covaria
- 2023-04-16 12:50:03下载
- 积分:1