Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory
- Author
- KRITCHMAN, Shira1 ; NADLER, Boaz1
[1] Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 76100, Israel - Source
IEEE transactions on signal processing. 2009, Vol 57, Num 10, pp 3930-3941, 12 p ; ref : 38 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
- Detection Tracy-Widom distribution number of signals random matrix theory statistical hypothesis tests
- Keyword (fr)
- Algorithme Critère MDL Détection optimale Evaluation performance Matrice aléatoire Méthode statistique Simulation Test hypothèse Test optimal Test statistique Traitement signal réseau Traitement signal
- Keyword (en)
- Algorithm MDL criterion Optimal detection Performance evaluation Random matrix Statistical method Simulation Hypothesis test Optimal test Statistical test Array signal processing Signal processing
- Keyword (es)
- Algoritmo MDL criterio Detección optimal Evaluación prestación Matriz aleatoria Método estadístico Simulación Test hipótesis Test optimal Test estadístico 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
- 21960573
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.2009.2022897 
https://dx.doi.org/10.1109/TSP.2009.2022897
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