Least-Squares, Sentinels and Substractive Optimally Localized Average - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 1998

Least-Squares, Sentinels and Substractive Optimally Localized Average

Abstract

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.
Fichier principal
Vignette du fichier
RR-3332.pdf (201.36 Ko) Télécharger le fichier

Dates and versions

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

Identifiers

  • HAL Id : inria-00073357 , version 1

Cite

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

Share

Gmail Facebook Twitter LinkedIn More