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.
Bibtex:
@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