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ITUL SIGNED

Information Theory with Uncertain Laws

Total Cost €

0

EC-Contrib. €

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Partnership

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Project "ITUL" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD POMPEU FABRA 

Organization address
address: PLACA DE LA MERCE, 10-12
city: BARCELONA
postcode: 8002
website: www.upf.edu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 1˙888˙033 €
 EC max contribution 1˙888˙033 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-08-01   to  2022-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD POMPEU FABRA ES (BARCELONA) coordinator 1˙213˙654.00
2    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) participant 674˙378.00

Map

 Project objective

Shannon's Information Theory paved the way for the information era by providing the mathematical foundations of digital information systems. A key underlying assumption of Shannon's key results is that the probability law that governing system is known, allowing to optimize the codebook and decoder accordingly.

There are a number of important situations where perfectly estimating the system law is impossible; in these situations the codebook and decoder must be designed without complete (or no) knowledge of the system law. The vast majority of the Information Theory literature makes strong simplifying assumptions on the model. Theoretical studies that provide a general treatment of information processing with uncertain laws are hence urgently needed. For general systems, standard asymptotic techniques cannot be invoked and new techniques must be sought. A fundamental understanding of the impact of uncertainty in general systems is crucial to harvesting the potential gains in practice.

This project is aimed at contributing towards the ambitious goal of providing a unified framework for the study of Information Theory with uncertain laws. A general framework based on hypothesis testing will be developed and code designs and constructions that naturally follow from the hypothesis testing formulation will be derived. This unconventional and challenging treatment of Information Theory will advance the area and will contribute to Information Sciences and Systems disciplines where Information Theory is relevant.

A comprehensive study of the fundamental limits and optimal code design with law uncertainty for general models will represent a major step forward in the field, with the potential to provide new tools and techniques to solve open problems in close disciplines. Therefore, the outcomes of this project will not only benefit communications, but also areas such as probability theory, statistics, physics, computer science and economics.

 Publications

year authors and title journal last update
List of publications.
2020 J .Font-Segura, A. Martinez and A. Guillén i Fàbregas
Efficient Error Probability Simulation of Coded Modulation over Fading Channels
published pages: , ISSN: , DOI:
2020 International Zürich Seminar on Information and Communication 2020-04-15
2019 Abroshan, Mahed; Venkataramanan, Ramji; Dolecek, Lara; Fàbregas, Albert Guillén i
Coding for Deletion Channels with Multiple Traces
published pages: , ISSN: , DOI:
2019 IEEE International Symposium on Information Theory 1 2020-04-15
2019 A. Somekh-Baruch, J. Scarlett and A. Guillén i Fàbregas
A Recursive Cost-Constrained Construction that Attains the Expurgated Exponent
published pages: , ISSN: , DOI:
2019 IEEE International Symposium on Information Theory 2020-04-15
2019 M. Dabirnia, A. Martinez and A. Guillén i Fàbregas
A Mismatched Decoding Perspective of Channel Output Quantization
published pages: , ISSN: , DOI:
2019 IEEE Information Theory Workshop 2020-04-15
2020 M. Dabirnia, A. Martinez and A. Guillén i Fàbregas
A Sequential Algorithm for Quantizer Design for Discrete Memoryless Channels
published pages: , ISSN: , DOI:
2020 International Zürich Seminar on Information and Communication 2020-04-15
2019 Rezazadeh, Arezou; Font-Segura, Josep; Martinez, Alfonso; Fàbregas, Albert Guillén i
Joint Source-Channel Coding for the Multiple-Access Channel with Correlated Sources
published pages: , ISSN: , DOI:
2019 IEEE International Symposium on Information Theory 1 2020-04-15
2019 R. Averbuch, N. Merhav and A. Guillén i Fàbregas
Large Deviations of Typical Random Codes
published pages: , ISSN: , DOI:
2019 IEEE International Symposium on Information Theory 2020-04-15
2019 Gonzalo Vazquez-Vilar, Albert Guillen i Fabregas, Sergio Verdu
The Error Probability of Generalized Perfect Codes via the Meta-Converse
published pages: 5705-5717, ISSN: 0018-9448, DOI: 10.1109/TIT.2019.2906227
IEEE Transactions on Information Theory 65/9 2020-04-15
2019 E. Asadi Kangarshahi and A. Guillén i Fàbregas
An Upper Bound to the Mismatch Capacity
published pages: , ISSN: , DOI:
2019 IEEE International Symposium on Information Theory 2020-04-15
2020 E. Asadi Kangarshahi and A. Guillén i Fàbregas
Properties of a Recent Upper Bound to the Mismatch Capacity
published pages: , ISSN: , DOI:
2020 International Zürich Seminar on Information and Communication 2020-04-15
2020 P. Boroumand and A. Guillén i Fàbregas
Error Exponents of Mismatched Likelihood Ratio Testing
published pages: , ISSN: , DOI:
2020 International Zürich Seminar on Information and Communication 2020-04-15
2019 Somekh-Baruch, A; Scarlett, J; Guillén I Fàbregas, A
Generalized Random Gilbert-Varshamov Codes
published pages: 3452 - 3469, ISSN: 0018-9448, DOI: 10.17863/CAM.45992
IEEE Transactions on Information Theory vol 65, no 5 2020-04-15
2019 J. Font-Segura, A. Martinez and A. Guillén i Fàbregas
Asymptotics of the random coding error probability for constant-composition codes
published pages: , ISSN: , DOI:
2019 IEEE International Symposium on Information Theory 2020-04-15
2018 Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas
Coding for Segmented Edit Channels
published pages: 3086-3098, ISSN: 0018-9448, DOI: 10.1109/tit.2017.2788143
IEEE Transactions on Information Theory 64/4 2020-01-27
2018 A. Somekh-Baruch, J. Scarlett, A. Guillén i Fàbregas
A Lower Bound to the Error Exponent of Random Gilbert-Varshamov Codes
published pages: , ISSN: , DOI:
2018 International Zürich Seminar on Communications 2020-01-27
2018 Jonathan Scarlett, Alfonso Martinez, Albert Guillen i Fabregas
Mismatched Multi-Letter Successive Decoding for the Multiple-Access Channel
published pages: 2253-2266, ISSN: 0018-9448, DOI: 10.1109/tit.2017.2781363
IEEE Transactions on Information Theory 64/4 2020-01-27

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