A new matrix decomposition for signal processing

  title={A new matrix decomposition for signal processing},
  author={Franklin T. Luk and Sanzheng Qiao},
SUBTITLE. 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 introduce a new approximate GSVD that is easily amenable to updating. ABSTRACT. To solve the noise subspace problem, we extend the generalized singular value decomposition to a new decomposition that can be updated at a low cost. In addition, we show how a forgetting factor can be incorporated in our new… CONTINUE READING

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Updating a rank-revealing ULV decomposition

  • G. W. Stewart
  • SIAM J. Matrix Anal. Appl.,
  • 1993
Highly Influential
6 Excerpts

Computing the CS-decomposition on systolic arrays

  • F. T. Luk, S. Qiao
  • SIAM J. Sci. Statist. Comput.,
  • 1986
1 Excerpt

Computing the CS and generalized singular value decomposi- tion

  • C. F. Van Loan
  • Numer. Math.,
  • 1985
2 Excerpts

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