ARMA Prediction of Widely Linear Systems by Using the Innovations Algorithm
- Author
- NAVARRO-MORENO, Jesus1
[1] Department of Statistics and Operations Research, University of Jaen, 23071 Jaen, Spain - Source
IEEE transactions on signal processing. 2008, Vol 56, Num 7, pp 3061-3068, 8 p ; 2 ; ref : 18 ref
- CODEN
- ITPRED
- ISSN
- 1053-587X
- Scientific domain
- Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- -Autoregressive moving average (ARMA) models improper complex random signals innovations algorithm linear least mean-square error (LLMSE) prediction problems widely linear systems
- Keyword (fr)
- Algorithme Erreur quadratique moyenne Evaluation performance Implémentation Innovation Modèle ARMA Méthode moindre carré moyen Prédicteur Signal aléatoire Signal complexe Système linéaire Traitement signal
- Keyword (en)
- Algorithm Mean square error Performance evaluation Implementation Innovation ARMA model Least mean squares methods Predictor Random signal Complex signal Linear system Signal processing
- Keyword (es)
- Algoritmo Error medio cuadrático Evaluación prestación Implementación Innovación Modelo ARMA Predictor Señal aleatoria Señal compleja Sistema lineal Procesamiento señal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05D Miscellaneous
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20460879
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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DOI
10.1109/TSP.2008.919396 
https://dx.doi.org/10.1109/TSP.2008.919396
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