Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/35211
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Type: Conference paper
Title: Parameters for automatic modulation recognition of HF signals
Author: Giesbrecht, J.
Clarke, R.
Abbott, D.
Citation: The 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
Publisher: URSI
Publisher Place: UK
Issue Date: 2006
Conference Name: Institution of Engineering and Technology International Conference on Ionospheric Radio Systems and Techniques (10th : 2006 : London, England)
Statement of
Responsibility: 
J. Giesbrecht, R. Clarke, and D. Abbott
Abstract: Two 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.
Description: © IET 2006
RMID: 0020062183
DOI: 10.1049/cp:20060285
Published version: http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=IEECPS0020060CP517000281000001&idtype=cvips&gifs=yes
Appears in Collections:Electrical and Electronic Engineering publications

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