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1 November 1993 Easily updatable approximate generalized singular value decomposition
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Abstract
Despite its important signal processing applications, the generalized singular value decomposition (GSVD) is under-utilized due to the high updating cost. In this paper, we consider the noise subspace problem and introduce a new approximate GSVD that is easily amenable to updating.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Franklin T. Luk and Sanzheng Qiao "Easily updatable approximate generalized singular value decomposition", Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); https://doi.org/10.1117/12.160457
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