TY - GEN
T1 - Wavelet analysis of sodium iodide spectra
AU - Sullivan, C. J.
AU - Martinez, M. E.
AU - Garner, S. E.
PY - 2005
Y1 - 2005
N2 - Wavelet analysis is a mathematical technique that was presented in the mid-1980s to solve a variety of problems in signal analysis where the signal is aperiodic, noisy, transient, etc. More recently, wavelets have been applied to other problems such as feature detection and localization, making it a very promising tool for the analysis of gamma-ray spectra. Recent results have also shown that this technique has the potential to benefit over other approaches due to the fact that the signal can simultaneously be analyzed over multiple scales by using wavelet analysis, thus eliminating potential false isotope identifications from artifacts such as the Compton edge and backscatter peaks. This implies that this peak localization algorithm is no longer a function of detector resolution, which changes with energy. We will present our results evaluating the technique of wavelet analysis for low-resolution (NaI) gamma-ray spectra. Emphasis will be placed on wavelet selection and the incorporation of a simple algorithm to the problem of isotope identification.
AB - Wavelet analysis is a mathematical technique that was presented in the mid-1980s to solve a variety of problems in signal analysis where the signal is aperiodic, noisy, transient, etc. More recently, wavelets have been applied to other problems such as feature detection and localization, making it a very promising tool for the analysis of gamma-ray spectra. Recent results have also shown that this technique has the potential to benefit over other approaches due to the fact that the signal can simultaneously be analyzed over multiple scales by using wavelet analysis, thus eliminating potential false isotope identifications from artifacts such as the Compton edge and backscatter peaks. This implies that this peak localization algorithm is no longer a function of detector resolution, which changes with energy. We will present our results evaluating the technique of wavelet analysis for low-resolution (NaI) gamma-ray spectra. Emphasis will be placed on wavelet selection and the incorporation of a simple algorithm to the problem of isotope identification.
KW - Gamma-ray spectroscopy
KW - Isotope identification
KW - Wavelet analysis
UR - http://www.scopus.com/inward/record.url?scp=33846618171&partnerID=8YFLogxK
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U2 - 10.1109/NSSMIC.2005.1596258
DO - 10.1109/NSSMIC.2005.1596258
M3 - Conference contribution
AN - SCOPUS:33846618171
SN - 0780392213
SN - 9780780392212
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 302
EP - 306
BT - 2005 IEEE Nuclear Science Symposium Conference Record -Nuclear Science Symposium and Medical Imaging Conference
T2 - Nuclear Science Symposium Conference Record, 2005 IEEE
Y2 - 23 October 2005 through 29 October 2005
ER -