2004
DOI: 10.1016/j.sigpro.2004.04.001
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Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing

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Cited by 335 publications
(157 citation statements)
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“…The augmented quaternion-valued covariance matrix of an augmented random vector q a = [q T q ıT q T q κT ] T see also (9) , is therefore given by,…”
Section: B Duality Between Quaternionic and Quadrivariate Statisticsmentioning
confidence: 99%
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“…The augmented quaternion-valued covariance matrix of an augmented random vector q a = [q T q ıT q T q κT ] T see also (9) , is therefore given by,…”
Section: B Duality Between Quaternionic and Quadrivariate Statisticsmentioning
confidence: 99%
“…Based on (9) and (18), it is the augmented random vector x a = [x T x ıT x T x κT ] T that contains all the required second order statistical information. Then, the quaternion widely linear model (QWL) can be constructed as…”
Section: Quaternion Widely Linear Modelmentioning
confidence: 99%
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