Improved FOCUSS method with conjugate gradient iterations

  • Authors:

  • Zhaoshui He;Andrzej Cichocki;Rafal Zdunek;Shengli Xie

  • Affiliations:

  • Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Saitama, Japan and School of Electronics and Information Engineering, South China University of Technology, Guangzho ...;Laboratory for Advanced Brain Signal Processing, RIKN Brain Science Institute, Saitama, Japan and System Research Institute, Polish Academy of Sciences and Warsaw University of Technology, Warsaw, ...;Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Saitama, Japan and Institute of Telecommunications, Teleinformatics, and Acoustics, Wroclaw University of Technology ...;School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 2009

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Abstract

FOCal Underdetermined System Solver (FOCUSS) is a powerful tool for sparse representation and underdetermined inverse problems. In this correspondence, we strengthen the FOCUSS method with the following main contributions: 1) we give a more rigorous derivation of the FOCUSS for the sparsity parameter 0 p