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Phase inversion and collapse of the cross-spectral function

Published

Author(s)

Craig W. Nelson, Archita Hati, David A. Howe

Abstract

Cross-spectral analysis is a mathematical tool for extracting the power spectral density of a correlated signal from two time series in the presence of uncorrelated interfering signals. We demonstrate and explain a set of conditions where the detection of the desired signal using cross-spectral fails partially or entirely in the presence of a second uncorrelated signal. Not understanding when and how this effect occurs can lead to dramatic underreporting of the desired signal. Theoretical and simulated demonstrations of this effect are presented
Citation
Electronics Letters
Volume
49
Issue
25

Keywords

amplitude noise, cross-correlation, cross-spectrum, phase noise

Citation

Nelson, C. , Hati, A. and Howe, D. (2013), Phase inversion and collapse of the cross-spectral function, Electronics Letters (Accessed April 13, 2024)
Created December 5, 2013, Updated February 19, 2017