Adaptive memory-based single distribution resampling for particle filter

Adaptive memory-based single distribution resampling for particle filter

Abstract The restrictions that are related to using single distribution resampling for some specific computing devices’ memory gives developers several difficulties as a result of the increased effort and time needed for the development of a particle filter. Thus, one needs a new sequential resampli...

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Bibliographic Details
Main Authors: Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Raja Zahilah Raja Mohd Radzi, Mazleena Salleh, Ahmad Fadhil Yusof
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:Journal of Big Data
Subjects:
Particle filter
Resampling
Sequential implementation
Memory consumption
Online Access:http://link.springer.com/article/10.1186/s40537-017-0094-3

Internet

http://link.springer.com/article/10.1186/s40537-017-0094-3

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