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Rapport (Rapport De Recherche) Année : 1998

Least-Squares, Sentinels and Substractive Optimally Localized Average

Résumé

We present with unified notations three approaches to linear parameter estimation: least-squares, sentinels, and Substrative Optimally Localized Average (SOLA). It becomes then obvious that the two last approaches correspond to the very same mathematical problem. This brings a new interpretation to sentinels, new computational tools to SOLA, and makes clear their link to the classical least-squares approach.

Domaines

Autre [cs.OH]
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Dates et versions

inria-00073357 , version 1 (24-05-2006)

Identifiants

  • HAL Id : inria-00073357 , version 1

Citer

Guy Chavent. Least-Squares, Sentinels and Substractive Optimally Localized Average. [Research Report] RR-3332, INRIA. 1998. ⟨inria-00073357⟩
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