Detecting and disposing abnormal signal outliers with masking effect by using data accumulated generating operation

Wang, JZ; Sun, DH; Wen, JN; Lu, HY

Detecting and disposing abnormal signal outliers with masking effect by using data accumulated generating operation

Wang, JZ Sun, DH Wen, JN Lu, HY

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008, 2008, 5 pp. 426 - 430
Issue Date:: 2008-09-22

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Field	Value	Language
dc.contributor.author	Wang, JZ	en_US
dc.contributor.author	Sun, DH	en_US
dc.contributor.author	Wen, JN	en_US
dc.contributor.author	Lu, HY https://orcid.org/0000-0001-5655-0237	en_US
dc.date.issued	2008-09-22	en_US
dc.identifier.citation	Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008, 2008, 5 pp. 426 - 430	en_US
dc.identifier.isbn	9780769531199	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11027
dc.description.abstract	In this paper, we study a signal processing problem which concentrates on outlier detection and data mining in order to rediscover some useful information. Moreover, the great difficulty of the subject is caused by both the external environment and the internal mechanism. In the external, owing to limit of impersonal condition, such as, realistic disturbance from noise signal can not avoid. In the internal, the masking effect appears in outlying observation so as to produce some unreasonable results by data analysis. Therefore, based not only on the requirement of external quality assurance schemes, but also on internal quality control where screening for outliers should probably be part of the procedure for our main goal. As a consequence, we have applied data accumulated generating operation and sample median test for solving the conundrum. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008	en_US
dc.relation.isbasedon	10.1109/CISP.2008.180	en_US
dc.title	Detecting and disposing abnormal signal outliers with masking effect by using data accumulated generating operation	en_US
dc.type	Conference Proceeding
utslib.citation.volume	5	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Hainan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

In this paper, we study a signal processing problem which concentrates on outlier detection and data mining in order to rediscover some useful information. Moreover, the great difficulty of the subject is caused by both the external environment and the internal mechanism. In the external, owing to limit of impersonal condition, such as, realistic disturbance from noise signal can not avoid. In the internal, the masking effect appears in outlying observation so as to produce some unreasonable results by data analysis. Therefore, based not only on the requirement of external quality assurance schemes, but also on internal quality control where screening for outliers should probably be part of the procedure for our main goal. As a consequence, we have applied data accumulated generating operation and sample median test for solving the conundrum. © 2008 IEEE.

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http://hdl.handle.net/10453/11027