1977
DOI: 10.1029/ja082i007p01245
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Complex representation of a polarized signal and its application to the analysis of ULF waves

Abstract: We define the complex signal s = x + jy, associated with a real signal having two orthogonal components x and y. This signal follows simple transformation rules when the measuring coordinate system is changed. Then we divide it into two other complex signals s+ and s− of opposite polarities, and we study the correspondence which exists between s+ and s− and the concept of an analytical signal. We demonstrate that the polarization parameters of the original signal are given by very simple expressions in terms o… Show more

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Cited by 49 publications
(28 citation statements)
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“…From the real‐time histories of E x and E y , the two circularly‐polarized components at each point can be extracted, which was discussed by Kodera et al [1977]. The right‐( E R ) and the left‐handed( E L ) circularly‐polarized electric fields are defined as where the asterisk denotes the complex conjugate.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…From the real‐time histories of E x and E y , the two circularly‐polarized components at each point can be extracted, which was discussed by Kodera et al [1977]. The right‐( E R ) and the left‐handed( E L ) circularly‐polarized electric fields are defined as where the asterisk denotes the complex conjugate.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Since the full vector is measured, the magnetic field can be broken into right-hand, left-hand, and compressional components by transforming to mean field coordinates (with z along the mean field), Fouriertransforming, and recombining the complex Fourier transforms of the x and y components into B L,R = B x ± iB y before computing the power spectrum. This procedure is outlined by Kodera et al (1977) and used in many subsequent papers (e.g. LaBelle and Treumann, 1992, who apply the technique to AMPTE/IRM data).…”
Section: Discussionmentioning
confidence: 99%
“…As in H&D, we use the method by Kodera et al [1977] to apply a Discrete Fourier Transform (DFT) on the complex signal C ( q , r , t n ) = δB r ( q , r , t n ) + iδB s ( q , r , t n ), where t n is the sampling time, and δB r ( δB s ) is the r ( s ) component of the fluctuating magnetic field. The power is defined as where ω k is the discrete Fourier frequency, ( q , r , ω k ) is the DFT of C ( q , r , t n ), *( q , r , ω k ) is the complex conjugate, and we use + (‐) to indicate power for which ω k > 0 ( ω k < 0).…”
Section: Simulationsmentioning
confidence: 99%