Unknown noise estimation with DPM model and its application
Dirichlet process mixture (DPM) model, which is the state-of-the-art Bayesian nonparametric model in Statistics, was introduced here. We explored its ability to model and estimate nongaussian unknown noise and applied it to dynamic estimation problem. The algorithm was given and a real world example of GPS estimation problem demonstrated the efficiency of our algorithm.
Guo Shuxia Yang Bo Liu Ning
Northwestern Polytechnical University Xi’an, P.R.China
国际会议
上海
英文
1-4
2010-10-20(万方平台首次上网日期,不代表论文的发表时间)