期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2017
卷号：8
期号：2
页码：119-127
出版社：Engg Journals Publications
摘要：Feedback particle filter introduced a new approach to approximate non-linear filteringproblem of the won ham filter. And Feedback particle filter has significantly lower variance, whencompared to Bootstrap particle filter also reducing MSE at lower no. of particle. And it is useful inNeuroscience to involve coupled oscillators. It is also applied in Neuromorphic implementations forBayesian inference in Human Brain, where the firing of Neurons is modeled as a Poisson process. And ithas Application in Target Tracking.
关键词：Feedback particle filter; speech enhancement algorithm; continuous transition between prior and;posterior; optimal transport formulation; tractable algorithm for non-linear filtering.
