Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Data Fusion and Bayes Estimation Algorithm Research

Authors
Yulian Gai, Yaping Wang
Corresponding Author
Yulian Gai
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.79How to use a DOI?
Keywords
Data Fusion, Bayes Estimation Algorithm, Multi-Source Data, Data Processing, Likelihood Function
Abstract
This paper starts from the prospective of data processing and use of information, analysis the meaning and realistic background of processing integrated data by using Data Fusion technology. On the basis of a clear basic idea and principle theory of Data Fusion, studies and discusses its hierarchical levels from three aspects. A relatively comprehensive description of Data Fusion process is given in the paper. Incorporate with the description of the basic principles and ideas of Bayes estimation algorithm, identifies the limitation of Bayes estimation algorithm. The practical significance of Data Fusion technology in dealing with information uncertainty and incompleteness are summarized.
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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yulian Gai
AU  - Yaping Wang
PY  - 2013/02
DA  - 2013/02
TI  - Data Fusion and Bayes Estimation Algorithm Research
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 323
EP  - 326
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.79
DO  - https://doi.org/10.2991/isccca.2013.79
ID  - Gai2013/02
ER  -