Publication

Density Evolution for Min-Sum Decoding of LDPC Codes Under Unreliable Message Storage

Publications associées (74)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Polar codes are widely considered as one of the most exciting recent discoveries in channel coding. For short to moderate block lengths, their error-correction performance under list decoding can outperform that of other modern error-correcting codes. Howe ...

2018

, ,

Polar codes are a recently proposed family of provably capacity-achieving error-correction codes that received a lot of attention. While their theoretical properties render them interesting, their practicality compared to other types of codes has not been ...

Ieee2017

Hardware implementation aspects of polar decoders and ultra high-speed LDPC decoders

Alexios Konstantinos Balatsoukas Stimming

The goal of channel coding is to detect and correct errors that appear during the transmission of information. In the past few decades, channel coding has become an integral part of most communications standards as it improves the energy-efficiency of tran ...

EPFL2016

A Multi-Gbps Unrolled Hardware List Decoder Systematic Polar Code

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Thomas Christoph Müller, Pascal Giard

Polar codes are a new class of block codes with an explicit construction that provably achieve the capacity of various communications channels, even with the low-complexity successive-cancellation (SC) decoding algorithm. Yet, the more complex successive-c ...

2016

Analysis of Spatially Coupled Systems using the Potential Functional with Applications to Coding Theory

Rafah El-Khatib

For the past 70 years or so, coding theorists have been aiming at designing transmission schemes with efficient encoding and decoding algorithms that achieve the capacity of various noisy channels. It was not until the '90s that graph-based codes, such as ...

EPFL2016

Bit-flipping LDPC under noise conditions and its application to Physically Unclonable Functions

Alexandre Schmid, Takao Marukame

A low-density parity check (LDPC) circuit and its properties as a post-processor is proposed for physically unclonable functions (PUFs) applications. PUFs can be realized using process variations or signal noises in SRAM or other PUF circuits, whereas the ...

Ieee2016

High-Speed Link With Trellis-Coded Modulation and Reed Solomon Coding

Andreas Peter Burg, Thomas Toifl, Giovanni Cherubini

A high-performance low-latency transmission system based on a concatenated code consisting of inner four-dimensional five-level pulse-amplitude-modulation (5-PAM) trellis-coded modulation and an outer Reed-Solomon (RS) code is proposed for a high-speed dat ...

Ieee2016

Sparse Probabilistic Models

Andrei Giurgiu

This thesis is concerned with a number of novel uses of spatial coupling, applied to a class of probabilistic graphical models. These models include error correcting codes, random constraint satisfaction problems (CSPs) and statistical physics models calle ...

EPFL2015

Re-proving Channel Polarization Theorems

Mine Alsan

The general subject considered in this thesis is a recently discovered coding technique, polar coding, which is used to construct a class of error correction codes with unique properties. In his ground-breaking work, Arikan proved that this class of codes, ...

EPFL2015

Mitigating the Impact of Faults in Unreliable Memories For Error-Resilient Applications

Andreas Peter Burg, Adam Shmuel Teman, Georgios Karakonstantis, Shrikanth Ganapathy

Inherently error-resilient applications in areas such as signal processing, machine learning and data analytics provide opportunities for relaxing reliability requirements, and thereby reducing the overheads incurred by conventional error correction scheme ...

2015