Blind System Identification Using Sparse Learning for TDOA Estimation of Room Reflections

@article{Kowalczyk2013BlindSI,
  title={Blind System Identification Using Sparse Learning for TDOA Estimation of Room Reflections},
  author={K. Kowalczyk and Emanuel A. P. Habets and Walter Kellermann and P. Naylor},
  journal={IEEE Signal Processing Letters},
  year={2013},
  volume={20},
  pages={653-656}
}
  • K. Kowalczyk, Emanuel A. P. Habets, +1 author P. Naylor
  • Published 2013
  • Computer Science
  • IEEE Signal Processing Letters
  • Localization of early room reflections can be achieved by estimating the time-differences-of-arrival (TDOAs) of reflected waves between elements of a microphone array. For an unknown source, we propose to apply sparse blind system identification (BSI) methods to identify the acoustic impulse responses, from which the TDOAs of temporally sparse reflections are estimated. The proposed time- and frequency-domain adaptive algorithms based on crossrelation formulation are regularized by… CONTINUE READING
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