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Network Numerical Analysis for the Smoother and the Lagged Joint-Process Estimator
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- Authors
- Yang Sun Lee, Dong Kyoo Kim, Leonard Barolli
- Issue Date
- 2013-09
- Citation
- Journal of Supercomputing, v.65, no.3, pp.1192-1204
- ISSN
- 0920-8542
- Publisher
- Springer
- Language
- English
- Type
- Journal Article
- Abstract
- Motivated by the fact that the a priori least-squares-order-recursive lattice (LSORL) smoother is more robust than the LSORL joint-process estimator with lagged desired signals in the finite precision, we model numerical properties of the two algorithms by virtue of previous efforts. Then, we give the reason why the smoother is substantially more robust than the lagged joint-process estimator by providing the explicit analysis for the performance difference of the two algorithms. © 2012 Springer Science+Business Media, LLC.
- KSP Keywords
- Explicit analysis, Finite precision, Least Squares(LS), Numerical Analysis, Performance difference, Process Estimator