Multi-prediction particle filter for efficient parallelized implementation

<p>Abstract</p> <p>Particle filter (PF) is an emerging signal processing methodology, which can effectively deal with nonlinear and non-Gaussian signals by a sample-based approximation of the state probability density function. The particle generation of the PF is a data-independen...

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Bibliographic Details
Main Authors: Chu Chun-Yuan, Chao Chih-Hao, Chao Min-An, Wu An-Yeu
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://asp.eurasipjournals.com/content/2011/1/53