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The geometric mean decomposition. (English) Zbl 1063.15009

Let \({\mathbb C}\) be the field of complex numbers. The matrix \({\mathbb H}\) in \({\mathbb C}^{m\times m}\) is said to have a geometric mean decomposition if \({\mathbb H}\)=QRP\(^\star\), where \({\mathbb P}\), \({\mathbb Q}\) are matrices with orthonormal columns and \({\mathbb R}\) is a real upper triangular matrix with diagonal elements all equal to the geometric mean of the positive singular values of \({\mathbb H}\).
The authors develop algorithms for computing the geometric mean decomposition of a matrix \({\mathbb H}\). The interest in this problem arose in signal processing.

MSC:

15A23 Factorization of matrices
65F25 Orthogonalization in numerical linear algebra
94A11 Application of orthogonal and other special functions
60G35 Signal detection and filtering (aspects of stochastic processes)
94A12 Signal theory (characterization, reconstruction, filtering, etc.)

Software:

NAPACK; mctoolbox
Full Text: DOI

References:

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