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Information Theory with Uncertain Laws

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 gov... ver más

31/07/2023

UPF

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UNIVERSITAT POMPEU FABRA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 321

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-07-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2016-COG: ERC Consolidator Grant

I+D

Cerrada hace 8 años

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3 Participantes

UPF

1.21M€ | Lider

ELECTRO MANTENIMENTS CASTELL...

319.97K€ | Participante

THE CHANCELLOR MASTERS AND S...

674.38K€ | Participante

Últimas noticias

02-12-2024: AGENCIA-VALENCIANA-D... En las últimas 48 horas el Organismo AGENCIA VALENCIANA D... ha otorgado 1 concesiones

02-12-2024: CDTI En las últimas 48 horas el Organismo CDTI ha otorgado 4 concesiones

01-12-2024: REDES En las últimas 48 horas el Organismo REDES ha otorgado 1337 concesiones

Duración del proyecto: 72 meses Fecha Inicio: 2017-07-24
Fecha Fin: 2023-07-31

Líder del proyecto

UNIVERSITAT POMPEU FABRA

Total investigadores 321

Presupuesto del proyecto 2M€

Descripción del proyecto 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.

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