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Paper Detail

Paper IDE.4.1
Paper Title Weak-Noise Modulation-Estimation of Vector Parameters
Authors Neri Merhav, Technion - Israel Institute of Technology, Israel
Session E.4: Estimation and Applications
Presentation Lecture
Track Detection and Estimation
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract We address the problem of modulating a parameter onto a power–limited signal, transmitted over a discrete–time Gaussian channel and estimating this parameter at the receiver. Continuing an earlier work, where the optimal trade–off between the weak–noise estimation performance and the outage probability (threshold–effect breakdown) was studied for a scalar parameter, here we extend the derivation of the weak–noise estimation performance to the case of a multi–dimensional vector parameter. This turns out to be a non–trivial extension, that provides a few insights, and has some interesting implications. Several modifications and extensions of the basic setup are also studied and discussed.

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IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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