@inproceedings{29a7e24b042b48c3977c369215a2fc51,
title = "Nonparametric estimation of a shot-noise process",
abstract = "We propose an efficient method to estimate in a nonparametric fashion the marks' density of a shot-noise process in presence of pileup from a sample of low-frequency observations. Based on a functional equation linking the marks' density to the characteristic function of the observations and its derivative, we propose a new time-efficient method using B-splines to estimate the density of the underlying γ-ray spectrum which is able to handle large datasets used in nuclear physics. A discussion on the numerical computation of the algorithm and its performances on simulated data are provided to support our findings.",
keywords = "B-splines, Pile-Up correction, Shot-noise, nonparametric estimation, γ-spectroscopy",
author = "Paul Ilhe and Francois Roueff and Eric Moulines and Antoine Souloumiac",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 19th IEEE Statistical Signal Processing Workshop, SSP 2016 ; Conference date: 25-06-2016 Through 29-06-2016",
year = "2016",
month = aug,
day = "24",
doi = "10.1109/SSP.2016.7551709",
language = "English",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE Computer Society",
booktitle = "2016 19th IEEE Statistical Signal Processing Workshop, SSP 2016",
}