Iterative system modeling using multigrid techniques
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Authors
Richter, Dean A.
Subjects
Advisors
Tummala, Murali
Date of Issue
1991-12
Date
December 1991
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
One and two-dimensional system identification and modeling algorithms utilizing
multigrid techniques are presented. Finite impulse response (FIR), autoregressive (AR),
infinite impulse response (IIR), and 2-D block matrix iterative system modeling
algorithms are enhanced and made more efficient using the multigrid methods. The
convergence performance of these algorithms is improved with the multigrid techniques.
The reduction in the number of iterations required to converge to a solution is realized
by forcing the low frequency error components to appear to be at a higher frequency by
transferring to a coarser sampling period. Performance comparisons are presented for
FIR, AR, IIR, and 2-D block matrix modeling simulations with and without the multigrid
techniques employed.
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funding
Format
116 p.;28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.