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A regularity criterion for lexicographical prediction of multivariate wide-sense stationary processes on Z2 with non-full-rank spectral densities

Author
LOUBATON, P
Ecole nationale supérieure télécommunications, 75634 Paris, France
Source

Journal of functional analysis. 1992, Vol 104, Num 1, pp 198-228 ; ref : 18 ref

CODEN
JFUAAW
ISSN
0022-1236
Scientific domain
Mathematics
Publisher
Academic Press, Brugge / Academic Press, Orlando, FL / Academic Press, San Diego, CA
Publication country
Belgium
Document type
Article
Language
English
Keyword (fr)
Condition nécessaire suffisante Densité spectrale Fonction analytique Fonction deux variables Ordre lexicographique Processus stationnaire Prédiction Régularité Espace Hardy Processus multivarie Sousespace divariant
Keyword (en)
Necessary and sufficient condition Spectral density Analytical function Two variables function Lexicographic order Stationary process Prediction Regularity Hardy space Multivaric process
Keyword (es)
Condición necesaria suficiente Densidad espectral Función analítica Función dos variables Orden lexicográfico Proceso estacionario Predicción Regularidad
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02E Mathematical analysis / 001A02E12 Fourier analysis

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01H Stochastic processes

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
5517983

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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