Peak Clipping Algorithms for Background Estimation in Spectroscopic Data Export

@article{citeulike:2248940, abstract = {In this paper we present sensitive nonlinear iterative peak (SNIP) clipping algorithms to estimate background in various kinds of spectra. We have proposed several improvements of the SNIP algorithm. Moreover, we have extended and generalized the SNIP algorithm for multidimensional coincidence γ-ray spectra. In addition to the continuous background, the so-called lower-order coincidences, i.e., coincidences peak-background in different dimensions, must also be included into the estimated background. Further, we have derived a set of modifications of the algorithm that allow estimation of specific shapes of background and ridges as well.}, author = {Morhac, Miroslav and Matousek, Vladislav}, citeulike-article-id = {2248940}, citeulike-linkout-0 = {http://dx.doi.org/10.1366/000370208783412762}, citeulike-linkout-1 = {http://www.ingentaconnect.com/content/sas/sas/2008/00000062/00000001/art00019}, doi = {10.1366/000370208783412762}, issn = {0003-7028}, journal = {Applied Spectroscopy}, keywords = {peak, search}, month = {January}, number = {1}, pages = {91--106}, posted-at = {2008-05-27 16:09:26}, priority = {2}, publisher = {Society for Applied Spectroscopy}, title = {Peak Clipping Algorithms for Background Estimation in Spectroscopic Data}, url = {http://dx.doi.org/10.1366/000370208783412762}, volume = {62}, year = {2008} }

TY - JOUR ID - citeulike:2248940 L3 - citeulike-article-id:2248940 N2 - In this paper we present sensitive nonlinear iterative peak (SNIP) clipping algorithms to estimate background in various kinds of spectra. We have proposed several improvements of the SNIP algorithm. Moreover, we have extended and generalized the SNIP algorithm for multidimensional coincidence γ-ray spectra. In addition to the continuous background, the so-called lower-order coincidences, i.e., coincidences peak-background in different dimensions, must also be included into the estimated background. Further, we have derived a set of modifications of the algorithm that allow estimation of specific shapes of background and ridges as well. IS - 1 JF - Applied Spectroscopy SN - 0003-7028 EP - 106 TI - Peak Clipping Algorithms for Background Estimation in Spectroscopic Data PB - Society for Applied Spectroscopy VL - 62 SP - 91 KW - peak KW - search AU - Morhac, Miroslav AU - Matousek, Vladislav PY - 2008/01// UR - http://dx.doi.org/10.1366/000370208783412762 ER -