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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/35211
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dc.contributor.authorGiesbrecht, J.-
dc.contributor.authorClarke, R.-
dc.contributor.authorAbbott, D.-
dc.contributor.editorGreen, P.R.-
dc.date.issued2006-
dc.identifier.citationThe 10th Institution of Engineering and Technology International Conference on Ionospheric Radio Systems and Techniques : (IRST2006) : 18 -21 July 2006 / organised by the Institution of Engineering and Technology Communication Networks and Services Technical and Professional Network, pp. 281-285-
dc.identifier.urihttp://hdl.handle.net/2440/35211-
dc.description© IET 2006-
dc.description.abstractTwo fundamental processes of modulation recognition are parameter extraction and feature selection. Parameter extraction determines unique characteristics of the signal such as frequency, phase, and amplitude. Parameters may also include statistical measures such as standard deviation, and nth-order moments and cumulants. This paper provides a brief review of two parameters, coherence and entropic distance, and re-introduces a statistical measure of signal-to-noise ratio (SNR). It also discusses the usefulness of these parameters in automatic modulation recognition of HF signals.-
dc.description.statementofresponsibilityJ. Giesbrecht, R. Clarke, and D. Abbott-
dc.language.isoen-
dc.publisherURSI-
dc.source.urihttp://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=IEECPS0020060CP517000281000001&idtype=cvips&gifs=yes-
dc.titleParameters for automatic modulation recognition of HF signals-
dc.typeConference paper-
dc.contributor.conferenceInstitution of Engineering and Technology International Conference on Ionospheric Radio Systems and Techniques (10th : 2006 : London, England)-
dc.identifier.doi10.1049/cp:20060285-
dc.publisher.placeUK-
pubs.publication-statusPublished-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Aurora harvest 6
Electrical and Electronic Engineering publications

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