Interference detection in Gaussian noise

Baddi, Raju R.

Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/4076

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DC Field	Value	Language
dc.contributor.author	Baddi, Raju R.	-
dc.date.accessioned	2011-08-11T05:31:37Z	-
dc.date.available	2011-08-11T05:31:37Z	-
dc.date.issued	2011-06	-
dc.identifier.citation	Astronomical Journal, 2011, Vol.141, p190	en
dc.identifier.issn	0004-6256	-
dc.identifier.issn	1538-3881 (online)	-
dc.identifier.uri	http://hdl.handle.net/2289/4076	-
dc.description	Restricted Access. An open-access version is available at arXiv.org (one of the alternative locations)	en
dc.description.abstract	Interference detection in Gaussian noise is proposed. It can be applied for easy detection and editing of interference lines in radio spectral line observations. One does not need to know the position of occurrence or keep track of interference in the band. By using statistical properties of N-channel Gaussian noise it is possible to differentiate interference from normal Gaussian noise. These statistical properties are three quantities which are calculated on the subject spectrum. The first is the expected absolute maximum from the mean level across the spectrum. The second is the expected absolute difference maximum (array of adjacent differences of channel values taken across the spectrum), and the third is the expected absolute added difference maximum. For N-channel Gaussian noise, these quantities have a well-defined value. Any deviation across the spectrum that violates an upper limit formed by these expected maxima is attributed to interference. Results obtained on real data by applying this technique have been displayed.	en
dc.language.iso	en	en
dc.publisher	IOP Publishing Ltd. for the American Astronomical Society	en
dc.relation.uri	http://adsabs.harvard.edu/abs/2011AJ....141..190B	en
dc.relation.uri	http://arxiv.org/abs/1010.3676	en
dc.relation.uri	http://dx.doi.org/10.1088/0004-6256/141/6/190	en
dc.rights	2011 The American Astronomical Society.	en
dc.subject	methods: data analysis	en
dc.subject	methods: statistical	en
dc.title	Interference detection in Gaussian noise	en
dc.type	Article	en
Appears in Collections:	Research Papers (A&A)

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