Optimal Linear Shrinkage corrections of sample LMMSE and MVDR estimators
作者： Jorge Serra Puertas
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摘要: La proposicio d'estimadors shrinkage optims que corregeixen la degradacio dels metodes sample LMMSE i MUDR en el regim on numero de mostres es petit comparacio a dimensio les observacions.
参考文章(67)
E Francisco, Rubio Molina-Prados, Generalized Consistent Estimation in Arbitrarily High Dimensional Signal Processing TDX (Tesis Doctorals en Xarxa). ,(2008)
Vi︠a︡cheslav Leonidovich Girko, Statistical analysis of observations of increasing dimension ,(1995)
Romain Couillet, Romain Couillet, Mrouane Debbah, Random Matrix Methods for Wireless Communications ,(2011)
Harry L. Van Trees, Optimum Array Processing ,(2002)
William E. Strawderman, On the existence of proper Bayes minimax estimators of the mean of a multivariate normal distribution Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Theory of Statistics. ,(1972)
P. G. Stoica, Randolph L. Moses, Introduction to spectral analysis ,(1997)
Steven M. Kay, Fundamentals Of Statistical Signal Processing ,(1993)
Randy L. Haupt, Robert A. Monzingo, Thomas W. Miller, Introduction to Adaptive Arrays ,(1980)
Vi︠a︡cheslav Leonidovich Girko, An Introduction to Statistical Analysis of Random Arrays ,(1998)
Attilio Meucci, Risk and asset allocation ,(2005)