35 Transient Multiexponential Data Selection Using Cramer Rao Lower Bound
Loading...
Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
ASME Press
Abstract
Previously, analysis of transient multiexponential data using a combination of Gardner
transform and parametric methods was shown to yield good results. However, one
problem that remains unsolved is that of the nonstationarity of the data resulting from the
associated deconvolution. Hitherto, trial and error methods have been used to select the
qualitative length of the deconvolved data. In this paper, Cramer Rao Lower Bound
(CRLB) is used to select the data truncation points for use with the MUSIC (Multiple Signal
Classification), minimum norm and ARMA (autoregressive moving average) methods.
Several simulations are made based on which truncation points are recommended for
each of the three parametric methods.
Description
Keywords
Transient Multiexponential, Data Selection, Lower Bound, Cramer Rao
Citation
Rotinwa-Akinbile, M. O., Aibinu, A. M., & Salami, M. J. E. (2011, December). A novel palmprint segmentation technique. In 2011 First International Conference on Informatics and Computational Intelligence (pp. 235-239). IEEE.