• DocumentCode
    3491021
  • Title

    A general framework for SVD flows and joint SVD flows

  • Author

    Hori, Gen

  • Author_Institution
    Brain Sci. Inst., RIKEN, Saitama, Japan
  • Volume
    2
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    The paper presents a general framework for the development of continuous algorithms for SVD and joint SVD problems. The framework for SVD is derived based on gradient flows on unitary groups. Two previous examples of SVD flows discovered heuristically are derived systematically using the framework. The framework for SVD is extended for joint SVD problems, and a new continuous algorithm for joint SVD is derived using the framework. The work described gives a clear perspective on SVD and joint SVD flows as well as a means for the development of new continuous algorithms.
  • Keywords
    algorithm theory; differential equations; gradient methods; random noise; signal processing; singular value decomposition; additive noise; continuous algorithm; continuous algorithms; differential equation; gradient flows; joint SVD flows; matrix differential equations; signal processing; singular values decomposition; unitary groups; Differential equations; Eigenvalues and eigenfunctions; Gradient methods; Matrix decomposition; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1202461
  • Filename
    1202461