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p-regularized least squares for 0 <= p <= 1 in estimating discrete spectrum models from sparse frequency measurements.

Mu-Hsin WeiJames H. McClellanWaymond R. Scott
Published in: ICASSP (2010)
Keyphrases
  • regularized least squares
  • probabilistic model
  • model selection
  • sparse representation
  • high dimensional