Concept

Code de Hamming

Publications associées (226)

Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages

The multi-level adaptive networks (MLAN) technique is a cross-lingual adaptation framework where a bottleneck (BN) layer in a deep neural network (DNN) trained in a source lan- guage is used for producing BN features to be exploited in a second DNN in a ta ...

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

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

Heterogeneous Error-Resilient Scheme for Spectral Analysis in Ultra-Low Power Wearable Electrocardiogram Devices

David Atienza Alonso, Giovanni Ansaloni, Georgios Karakonstantis, Pablo Garcia del Valle, Soumya Subhra Basu

Wearable devices performing advanced bio-signal analysis algorithms will foster a revolution in healthcare provision of chronic cardiac diseases. In this context, energy efficiency is of paramount importance, as long-term operations must be performed withi ...

IEEE Press2015

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

A 3.52 Gb/s mmWave Baseband with Delayed Decision Feedback Sequence Estimation in 40 nm

Andreas Peter Burg, Nicholas Alexander Preyss, Carl Christian Sten Dominic Senning

We present a digital baseband ASIC for 60 GHz single-carrier (SC) transmission that is optimized for communication scenarios in which most of the energy is concentrated in the first few channel taps. Such scenarios occur for example in office environments ...

2015

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

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

Refresh-Free Dynamic Standard-Cell Based Memories: Application to a QC-LDPC Decoder

Andreas Peter Burg, Pascal Andreas Meinerzhagen, Georgios Karakonstantis, Andrea Bonetti

The area and power consumption of low-density parity check (LDPC) decoders are typically dominated by embedded memories. To alleviate such high memory costs, this paper exploits the fact that all internal memories of a LDPC decoder are frequently updated w ...

2015

Energy-Efficient Inexact Speculative Adder with High Performance and Accuracy Control

Christian Enz, Vincent Frédéric Camus, Jérémy Lucien Maurice Schlachter

Inexact and approximate circuit design is a promising approach to improve performance and energy efficiency in technology-scaled and low-power digital systems. Such strategy is suitable for error-tolerant applications involving perceptive or statistical ou ...

2015

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