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Chiverton, J and Wells, K (2006)

Mixture effects in FIR low-pass filtered signals

IEEE Signal Processing Letters 13(6), pp. 369-372.

ISSN/ISBN: 1070-9908 DOI: 10.1109/LSP.2006.871710

Abstract: Accurate classification of signals composed of two or more classification classes (e.g., biomedical imaging data with pathological structures) might utilize a density that takes account of the signal acquisition process. A new density based on a Gaussian point spread function (PSF) and another utilizing a phenomenological observation known as Benford's Law are presented. Histograms of filtered signals are compared with these densities. The results suggest that the Gaussian PSF-based density is somewhat better than the Benford's Law density. Both approaches provide improved fits to histograms from data convolved with a variety of different PSFs over an existing mixture formulation.

@ARTICLE{, author={J. Chiverton and K. Wells}, journal={IEEE Signal Processing Letters}, title={Mixture effects in FIR low-pass filtered signals}, year={2006}, volume={13}, number={6}, pages={369--372}, doi={10.1109/LSP.2006.871710}, ISSN={1070-9908}, month={June},}

Reference Type: Journal Article

Subject Area(s): Image Processing, Statistics