Mixture effects in FIR low-pass filtered signals

J. Chiverton, K. Wells

    Research output: Contribution to journalArticlepeer-review


    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.
    Original languageEnglish
    Pages (from-to)369-372
    Number of pages4
    JournalIEEE Signal Processing Letters
    Issue number6
    Publication statusPublished - 1 Jun 2006


    • Partial Volume
    • Signal Processing
    • Mixture Effects
    • FIR filter
    • Benford's Law


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