• search
    search
  • reviewers
    reviewers
  • feeds
    feeds
  • assignments
    assignments
  • settings
  • logout

Channel sparsity-aware recursive least squares algorithms for nonlinear system modeling and active noise control.

Li TanVinith VijayarajanNicholas M. ChimittJean JiangAlain Togbé
Published in: UEMCON (2017)
Keyphrases
  • recursive least squares
  • learning algorithm
  • super resolution
  • image processing
  • probabilistic model
  • principal component analysis
  • computationally efficient
  • real valued
  • learning rate