Intensity Estimation of Spectroscopic Signals With an Improved Sparse Reconstruction Algorithm

被引:8
作者
Trigano, Tom [1 ]
Cohen, Jonas [1 ]
机构
[1] Shamoon Coll Engn, Dept Elect Engn, IL-84100 Ashdod, Israel
关键词
Compressive sensing; LASSO; nuclear spectroscopy; point processes; poisson processes; sparse reconstruction; SHOT-NOISE DATA; REGRESSION; LASSO; SELECTION;
D O I
10.1109/LSP.2017.2680839
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
One of the main measurements performed in a nuclear spectroscopy experiment is the activity of an unknown radioactive source. The use of digital apparatus and physical perturbations, known as pile-up effect, make this measurement difficult when the activity of the source is high. In recent contributions, the use of compressive sensing methods yielded good estimates of this activity. This letter presents an improvement of a previously described method. It takes into account the fact that the signal used for the activity estimation is sampled, and introduces another plug-in estimation to counterbalance the bias introduced by the sampling. Results on simulations and real data validate the proposed approach, but illustrate that a good fit between the dictionary used and the signal at hand is required.
引用
收藏
页码:530 / 534
页数:5
相关论文
共 17 条
[1]  
[Anonymous], 2003, INTRO THEORY POINT P
[2]   A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes [J].
Coleman, Todd P. ;
Sarma, Sridevi S. .
NEURAL COMPUTATION, 2010, 22 (08) :2002-2030
[3]  
DIGGLE P, 1985, J R STAT SOC C-APPL, V34, P138
[4]   Least angle regression - Rejoinder [J].
Efron, B ;
Hastie, T ;
Johnstone, I ;
Tibshirani, R .
ANNALS OF STATISTICS, 2004, 32 (02) :494-499
[5]   Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods [J].
Erguen, Ayla ;
Barbieri, Riccardo ;
Eden, Uri T. ;
Wilson, Matthew A. ;
Brown, Ernery N. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (03) :419-428
[6]  
Knoll GF., 1989, Radiation detection and measurement
[7]   ESTIMATION OF THE DENSITY OF THE FILTERED POISSON IMPULSE PROCESS - A PARAMETRIC APPROACH [J].
MINO, H ;
YANA, K .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1993, 41 (04) :1710-1714
[8]  
Oliver JF, 2012, IEEE NUCL SCI CONF R, P2995
[9]  
Sepulcre Y, 2012, EUR SIGNAL PR CONF, P2367
[10]   Sparse Regression Algorithm for Activity Estimation in γ Spectrometry [J].
Sepulcre, Yann ;
Trigano, Thomas ;
Ritov, Ya'acov .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (17) :4347-4359