A general weighted median filter structure admitting negative weights

@article{Arce1998AGW,
  title={A general weighted median filter structure admitting negative weights},
  author={Gonzalo R. Arce},
  journal={IEEE Trans. Signal Processing},
  year={1998},
  volume={46},
  pages={3195-3205}
}
Weighted median smoothers, which were introduced by Edgemore in the context of least absolute regression over 100 years ago, have received considerable attention in signal processing during the past two decades. Although weighted median smoothers offer advantages over traditional linear finite impulse response (FIR) filters, it is shown in this paper that they lack the flexibility to adequately address a number of signal processing problems. In fact, weighted median smoothers are analogous to… CONTINUE READING

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