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Pileup Correction Algorithm using an Iterated Sparse Reconstruction Method

delete2015-09-01
delete11
PRE
AI
T
Tom Trigano *
I
Ilia Gildin
Y
Yann Sepulcre
DOI：10.1109/LSP.2015.2406911delete
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Abstract

Abstract

En 中文
Every radioactive source can be characterized by an histogram obtained after collecting the energies of photons emitted from the source, also called energy spectrum. However, when the activity of this source is high, a physical phenomenon known as the pile-up effect distorts direct measurements, resulting in a significant distortion of the energy spectrum. We suggest in this letter an iterative algorithm to attenuate the pile-up effect and enhance the resulting energy spectra. It is based on iterations of a post-processed, non-negative, version of the Least Absolute Shrinkage and Selection Operator (LASSO). Results on simulations and real data illustrate the improvement obtained by the proposed method.
Keywords:
Compressive sensing
nuclear spectroscopy
signal restoration and enhancement
sparse reconstruction
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Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

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