A Class of Algorithms for Time-Frequency Multiplier Estimation

@article{Olivero2013ACO,
  title={A Class of Algorithms for Time-Frequency Multiplier Estimation},
  author={Ana{\"i}k Olivero and Bruno Torr{\'e}sani and Richard Kronland-Martinet},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2013},
  volume={21},
  pages={1550-1559}
}
We propose here a new approach together with a corresponding class of algorithms for offline estimation of linear operators mapping input to output signals. The operators are modeled as multipliers, i.e., linear and diagonal operator in a frame or Bessel representation of signals (like Gabor, wavelets ...) and characterized by a transfer function. The estimation problem is formulated as a regularized inverse problem, and solved using iterative algorithms, based on gradient descent schemes… Expand
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