Algorithms for Optimal Numerical Quadrature Based on Signal Class Models
dc.citation.bibtexName | techreport | en_US |
dc.citation.issueNumber | 7915 | en_US |
dc.citation.journalTitle | Rice University ECE Technical Report | en_US |
dc.contributor.author | de Figueiredo, Rui J.P. | en_US |
dc.date.accessioned | 2007-10-31T00:42:20Z | |
dc.date.available | 2007-10-31T00:42:20Z | |
dc.date.issued | 1979-11-01 | en |
dc.date.modified | 2004-03-16 | en_US |
dc.date.submitted | 2004-03-16 | en_US |
dc.description | Tech Report | en_US |
dc.description.abstract | A framework is presented for constructing various types of numerical quadrature algorithms which take into account the a-priori known or estimated properties of the signal being processed. This is done by appropriately modeling the signal class to which such a signal belongs. Both linear and nonlinear signal class models are considered and wide use of generalized spine theory is made. For the nonlinear case, a new type of nonlinear generalized spline is defined. | en_US |
dc.identifier.citation | R. J. de Figueiredo, "Algorithms for Optimal Numerical Quadrature Based on Signal Class Models," <i>Rice University ECE Technical Report,</i> no. 7915, 1979. | |
dc.identifier.uri | https://hdl.handle.net/1911/19849 | |
dc.language.iso | eng | |
dc.subject | Numerical quadrature | * |
dc.subject | numerical integration | * |
dc.subject | moments | * |
dc.subject | convolution | * |
dc.subject | Fourier transforms | * |
dc.subject | filters | * |
dc.subject | spline functions | * |
dc.subject | variational methods | * |
dc.subject.keyword | Numerical quadrature | en_US |
dc.subject.keyword | numerical integration | en_US |
dc.subject.keyword | moments | en_US |
dc.subject.keyword | convolution | en_US |
dc.subject.keyword | Fourier transforms | en_US |
dc.subject.keyword | filters | en_US |
dc.subject.keyword | spline functions | en_US |
dc.subject.keyword | variational methods | en_US |
dc.title | Algorithms for Optimal Numerical Quadrature Based on Signal Class Models | en_US |
dc.type | Report | |
dc.type.dcmi | Text |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- deF1979Nov9Algorithms.PDF
- Size:
- 578.15 KB
- Format:
- Adobe Portable Document Format