Name
Abstract | ||
|---|---|---|
This paper proposes a novel non-parametric estimator for spectroscopic echo-train signals, termed ETCAPA, to be used as a robust and reliable first-approach-technique for new, unknown, or partly disturbed substances. Exploiting the complete echo structure for the signal of interest, the method reliably estimates all parameters of interest, enabling initial estimates for the identification procedure to follow. Extending the recent dCapon and dAPES algorithms, ETCAPA exploits a data-dependent filter-bank formulation together with a non-linear minimization to give a hitherto unobtained non-parametric estimate of the echo train decay. The proposed estimator is evaluated on both simulated and measured NQR signals, clearly showing the excellent performance of the method, even in the case of strong interferences. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638869 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
echo,interference suppression,minimisation,parameter estimation,signal processing,ETCAPA,NQR signals,dAPES algorithm,dCapon algorithm,data-dependent filter-bank formulation,echo structure,echo train decay,nonlinear minimization,nonparametric data-dependent estimation,nonparametric estimator,parameter estimation,spectroscopic echo-train signals,unobtained nonparametric estimate,Nuclear Quadrupole Resonance,echotrain signals,filter-bank methods,non-parametric estimation,radio-frequency spectroscopy | Signal processing,Pattern recognition,Computer science,Data dependent,Nonparametric statistics,Minification,Minimisation (psychology),Nuclear quadrupole resonance,Artificial intelligence,Estimation theory,Estimator | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.39 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kronvall, T. | 1 | 34 | 5.14 |
| Johan Sward | 2 | 37 | 11.84 |
| Andreas Jakobsson | 3 | 409 | 43.32 |