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Proceedings Paper

Intensity estimation from shot-noise data
Author(s): Raul E. Sequeira; John A. Gubner
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Paper Abstract

The estimation of the intensity function of a Poisson-driven shot- noise process is addressed using a regularization technique, where the data is modeled as a signal term plus a signal-dependent noise term. The approach used requires that the estimates belong to some finite- dimensional subspace. This paper investigates the effect of the choice of subspace on the estimates produced.

Paper Details

Date Published: 30 September 1994
PDF: 7 pages
Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); doi: 10.1117/12.188041
Show Author Affiliations
Raul E. Sequeira, Univ. of Wisconsin/Madison (United States)
John A. Gubner, Univ. of Wisconsin/Madison (United States)


Published in SPIE Proceedings Vol. 2302:
Image Reconstruction and Restoration
Timothy J. Schulz; Donald L. Snyder, Editor(s)

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