Structured matrix representations of two-parameter Hankel transforms in adaptive optics
We derive efficient approaches for two-parameter Hankel transforms. Such transforms arise, for example, in covariance matrix computations for performance modeling and evaluation of adaptive optics (AO) systems. Fast transforms are highly desirable since the parameter space for performance evaluation and optimization is large. They may be also applicable in real-time control algorithms for future AO systems. Both approaches exploit the analytical properties of the Hankel transform and result in structured matrix representations of approximate transforms. The approximations can be made to satisfy any pre-specified accuracy requirement. The matrix structures can then be exploited in subsequent computations to significantly reduce computation cost. © 2000 Elsevier Science Inc.
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- Numerical & Computational Mathematics
- 49 Mathematical sciences
- 40 Engineering
- 09 Engineering
- 08 Information and Computing Sciences
- 01 Mathematical Sciences
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Numerical & Computational Mathematics
- 49 Mathematical sciences
- 40 Engineering
- 09 Engineering
- 08 Information and Computing Sciences
- 01 Mathematical Sciences