A Subband Adaptive Iterative Shrinkage/Thresholding Algorithm

Bayram I., SELESNICK I. W.

IEEE TRANSACTIONS ON SIGNAL PROCESSING, cilt.58, sa.3, ss.1131-1143, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 58 Sayı: 3
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1109/tsp.2009.2036064
  • Dergi Adı: IEEE TRANSACTIONS ON SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1131-1143
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

We investigate a subband adaptive version of the popular iterative shrinkage/thresholding algorithm that takes different update steps and thresholds for each subband. In particular, we provide a condition that ensures convergence and discuss why making the algorithm subband adaptive accelerates the convergence. We also give an algorithm to select appropriate update steps and thresholds for when the distortion operator is linear and time invariant. The results in this paper may be regarded as extensions of the recent work by Vonesch and Unser.