Method of quadratic approximation: A new approach to identification of analysers and channels in human vision.
type: Item
instance of: scholarly article
title: Method of quadratic approximation: A new approach to identification of analysers and channels in human vision.
zbMATH Open document ID: 1042.93006
DOI: 10.1016/S0022-2496(03)00048-8
author: Alexander D. Logvinenko
published in: Journal of Mathematical Psychology
publication date: 2004-03-14T00:00:00Z
review text: The considered observer is defined by a detection/discrimination model which involves a linear filter in a cascaded combination with a nonlinear transducer followed by a decision functional. The purpose is to identify the characteristics of the filter without knowing the exact form of both the transducer function and the decision functional which are only assumed to satisfy some a priori constraints, general enough to cover a large class of models. It is shown that a quadratic approximation of the threshold surface works very well. The calculus is based on the properties of the Minkowski norm.
Mathematics Subject Classification ID: 93A30
Mathematics Subject Classification ID: 93B30
zbMATH DE Number: 2055563
zbMATH Keywords: vision
zbMATH Keywords: linear system
zbMATH Keywords: identification
zbMATH Keywords: channels
zbMATH Keywords: analysers
zbMATH Keywords: detection
zbMATH Keywords: discrimination
zbMATH Keywords: masking
zbMATH Keywords: nonlinear transducer
zbMATH Keywords: decision functional
zbMATH Keywords: quadratic approximation
zbMATH Keywords: threshold surface
zbMATH Keywords: Minkowski norm
reviewed by: Guy Jumarie
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 2055563