• Gökhan GülEmail author
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 414)


The objective of this book is to develop new robust detection schemes that are able to deal with both outliers as well as modeling errors, improve existing methods, design novel decentralized detection systems, and determine the bounds on the performance losses in minimax (decentralized) decision making as well as in minimax decentralized system design. Robustness has several different meanings in the literature, and in this book robustness is meant to be statistical robustness in the context of imprecise knowledge of the Bayesian prior and the nominal probability distributions. An important consideration is that the developed methods must be application independent, i.e. they should be applicable to any (distributed) robust decision making problem for a set of suitably chosen parameters.


Cognitive Radio Fusion Center Robust Test Sequential Probability Ratio Test Fixed Sample Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institut für Nachrichtentechnik, Fachbereich Elektro- und Informationstechnik (ETIT)Technische Universität DarmstadtDarmstadtGermany

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