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Design of a recursive vector processor using polynomial splinesThe problem of obtaining smoothed estimates of function values, particularly their derivatives, from a finite set of inaccurate measurements is considered. A recursive two-dimensional vector processor is introduced as an approximation to the nonrecursive constrained least-squares estimation. Here, piecewise bicubic Hermite polynomials are extensively used as approximating functions, and the smoothing integral is converted to a discrete quadratic form. This makes it possible to convert the problem of fitting an approximating function to one of estimating the function values and derivatives at the nodes.
Document ID
19820042032
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Kim, C. S.
(Rensselaer Polytechnic Inst. Troy, NY, United States)
Shen, C. N.
(Rensselaer Polytechnic Institute, Troy, NY, United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1980
Subject Category
Numerical Analysis
Meeting Information
Meeting: Conference on Decision and Control
Location: Albuquerque, NM
Start Date: December 10, 1980
End Date: December 12, 1980
Accession Number
82A25567
Funding Number(s)
CONTRACT_GRANT: NAG1-61
Distribution Limits
Public
Copyright
Other

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