-
HalfAdaptiveInteractiveMultipleModelTrackingAlgori
曲线模型的半自适应交互多模型跟踪方法
我存的一篇论文，拿来与大家共享(When using interactive multiple model (IMM) to track targets,to select smallermodel set to better cover the move-
ment property and the maneuvering level of various targets and meanwhile to reduce computation complexity are both worthwhile and
also necessary research tasks to project implementation.The main work is done through the IMM algorithm of curvilinear model,the
construction of angle velocity estimation model and the extension of it to state equations,whichmake it possible for normal acceleration
to be self-adaptively adjusted,hence it reduces the model setto associate onlywithMcurvilinearmodels selatingtotangential acceler-
ation.Computation burden is reduced and algorithm’s applying range is extended.The simulation further proves the conclusion
)
- 2009-06-01 20:15:20下载
- 积分：1
-
Matlab-program-example
给出了很多matlab编程的具体例子，希望对大家编程有所帮助(it gives many examples about matlab program,and I hope this can help somebody)
- 2011-05-09 15:40:00下载
- 积分：1
-
pinctrl-xway
each bank has this offset apart from the 1 2 bank that is mixed into the other 3 ranges.
- 2014-08-20 11:25:50下载
- 积分：1
-
tbdemo
demonstration of viterbi decoding using trace-back
- 2014-01-15 16:17:46下载
- 积分：1
-
sliding bearing
说明： 360°轴承静态性能的油膜压力、支撑力、摩擦力、流量计算。(the calculation of oil film pressure, support force, friction force and flow of sliding bearing static performance.)
- 2020-06-03 20:24:28下载
- 积分：1
-
MATLAB_svm_gui
SVM Training using matlab
- 2011-04-24 11:26:05下载
- 积分：1
-
upml_boundary
2d code for Upml boundary condition of TMz wave
- 2012-12-30 23:32:09下载
- 积分：1
-
MATLAB
最新matlab2013b发布版的功能介绍，特别是一些新的功能模块，功能很强大(The latest release features matlab2013b introduction, especially some new functional modules, very powerful)
- 2013-12-25 09:06:03下载
- 积分：1
-
code
Minhashing和LSH算法。用于查找和比较一个pair是否是相似的。并分析false negative和false positive的值(Minhashing and Locality-Sensitive-Hashing (LSH). The algorithms are approximate in that they find only candidate pairs that are likely similar. Therefore, there are two types of error. A false positive (FP) is a candidate pair that is not actually similar according to the given similarity threshold. A false negative (FN) is a similar pair that is not a candidate pair. In this project, we will implement the Minhashing and LSH algorithms, apply them on data sets, and draw observations about when these algorithms perform.
)
- 2012-01-01 21:39:07下载
- 积分：1
-
lpp_source
cx_3 lpp source code with many examples
- 2015-04-14 19:03:43下载
- 积分：1
