Recherche

Afficher tous les résultats pour

Accueil

Personne

Andreas Peter Burg

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (211)

Polarization-Adjusted Convolutional (PAC) Codes: Sequential Decoding vs List Decoding

Andreas Peter Burg, Mohammad Rowshan

In the Shannon lecture at the 2019 International Symposium on Information Theory (ISIT), Arikan proposed to employ a one-to-one convolutional transform as a pre-coding step before the polar transform. The resulting codes of this concatenation are called po ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

An Energy-Autonomous Wireless Sensor With Simultaneous Energy Harvesting and Ambient Light Sensing

Catherine Dehollain, Andreas Peter Burg, Roberto La Rosa

Wireless sensor nodes (WSNs) are generally powered by batteries, which results in a substantial limitation to the places where the nodes can be installed, to the maximum number of deployable devices, and to the node lifetime. To meet the demand for Interne ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

E2CNN: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices

David Atienza Alonso, Andreas Peter Burg, Miguel Peon Quiros, Flavio Ponzina

To reduce energy consumption, it is possible to operate embedded systems at sub-nominal conditions (e.g., reduced voltage, limited eDRAM refresh rate) that can introduce bit errors in their memories. These errors can affect the stored values of CNN weights ...

2021

Improving Railway Track Coverage with mmWave Bridges: A Measurement Campaign

Ruben Merz, Andreas Peter Burg, Adrian Schumacher

Bringing cellular capacity into modern trains is challenging because they act as Faraday cages. Building a radio frequency (RF) corridor along the railway tracks ensures a high signal-to-noise ratio and limits handovers. However, building such RF corridors ...

ASSOC COMPUTING MACHINERY2021

ComplexBeat: Breathing Rate Estimation from Complex CSI

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andreas Toftegaard Kristensen, Sitian Li

In this paper, we explore the use of channel state information (CSI) from a WiFi system to estimate the breathing rate of a person in a room. In order to extract WiFi CSI components that are sensitive to breathing, we propose to consider the delay domain c ...

IEEE, ELECTRON DEVICES SOC & RELIABILITY GROUP2021

On the Advantage of Coherent LoRa Detection in the Presence of Interference

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis, Joachim Tobias Tapparel, Sitian Li

It has been shown that the coherent detection of long range (LoRa) signals only provides marginal gains of around 0.7 dB on the additive white Gaussian noise (AWGN) channel. However, ALOHA-based massive Internet-of-Things systems, including LoRa, often ope ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Current-Based Data-Retention-Time Characterization of Gain-Cell Embedded DRAMs Across the Design and Variations Space

Andreas Peter Burg, Andrea Bonetti, Adam Shmuel Teman, Robert Giterman

The rise of data-intensive applications has resulted in an increasing demand for high-density and low-power on-chip embedded memories. Gain-cell embedded DRAM (GC-eDRAM) is a logic-compatible alternative to conventional static random access memory (SRAM) w ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Gain-Cell Embedded DRAMs: Modeling and Design Space

Andreas Peter Burg, Andrea Bonetti, Adam Shmuel Teman, Robert Giterman

Among the different types of DRAMs, gain-cell embedded DRAM (GC-eDRAM) is a compact, low-power and CMOS-compatible alternative to conventional SRAM. GC-eDRAM achieves high memory density as it relies on a storage cell that can be implemented with as few as ...

IEEE2020

Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations

Christoph Studer, Andreas Peter Burg, Chuan Zhang

This Special Issue of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) is dedicated to demonstrating the latest research progress on artificial intelligence for 5G and beyond 5G (B5G) with respect to implementations, algori ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

A 1-Mbit Fully Logic-Compatible 3T Gain-Cell Embedded DRAM in 16-nm FinFET

Andreas Peter Burg, Adam Shmuel Teman, Robert Giterman

Gain-cell embedded DRAM (GC-eDRAM) is a logic-compatible embedded memory alternative to SRAM, offering higher density, lower leakage power consumption, and an inherent two-ported functionality. However, increased leakage currents and process variations und ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices

David Atienza Alonso, Andreas Peter Burg, Martino Ruggiero, Benoît Walter Denkinger, Soumya Subhra Basu, Andrea Bonetti, Szabolcs Balási, Miguel Peon Quiros, Flavio Ponzina

Energy consumption is a significant obstacle to integrate deep learning into edge devices. Two common techniques to curve it are quantization, which reduces the size of the memories (static energy) and the number of accesses (dynamic energy), and voltage s ...

2020

On the Error Rate of the LoRa Modulation With Interference

Andreas Peter Burg, Matthieu Cotting, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis

LoRa is a chirp spread-spectrum modulation developed for the Internet of Things (IoT). In this work, we examine the performance of LoRa in the presence of both additive white Gaussian noise and interference from another LoRa user. To this end, we extend an ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Design and Decoding of Irregular LDPC Codes Based on Discrete Message Passing

Andreas Peter Burg

We consider discrete message passing (MP) decoding of low-density parity check (LDPC) codes based on information-optimal symmetric look-up table (LUT). A link between discrete message labels and the associated log-likelihood ratio values (defined in terms ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

GC-eDRAM with Body-Bias Compensated Readout and Error Detection in 28nm FD-SOI

Andreas Peter Burg, Andrea Bonetti, Adam Shmuel Teman, Robert Giterman

Gain-cell embedded DRAM (GC-eDRAM) is an attractive alternative to conventional SRAM due to its high-density, low-leakage, and inherent two-ported functionality. However, its dynamic storage mechanism requires power-hungry refresh cycles to maintain data. ...

IEEE2020

An Open-Source LoRa Physical Layer Prototype on GNU Radio

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis, Joachim Tobias Tapparel, Paul Angelin Antoine Mayoraz

LoRa is the proprietary physical layer (PHY) of LoRaWAN, which is a popular Internet-of-Things (IoT) protocol enabling low-power devices to communicate over long ranges. A number of reverse engineering attempts have been published in the last few years tha ...

IEEE2020

Lupulus: A Flexible Hardware Accelerator For Neural Networks

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Robert Giterman, Andreas Toftegaard Kristensen

Neural networks have become indispensable for a wide range of applications, but they suffer from high computational- and memory-requirements, requiring optimizations from the algorithmic description of the network to the hardware implementation. Moreover, ...

IEEE2020

On the Implementation Complexity of Digital Full-Duplex Self-Interference Cancellation

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andreas Toftegaard Kristensen

In-band full-duplex systems promise to further increase the throughput of wireless systems, by simultaneously transmitting and receiving on the same frequency band. However, concurrent transmission generates a strong self-interference signal at the receive ...

IEEE2020

Training Channel Selection for Learning-based 1-bit Precoding in Massive MU-MIMO

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Sitian Li

Learning-based algorithms have gained great popularity in communications since they often outperform even carefully engineered solutions by learning from training samples. In this paper, we show that the selection of appropriate training examples can be im ...

IEEE2020

A 161-mW 56-Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14-nm FinFET

Yusuf Leblebici, Alessandro Cevrero, Andreas Peter Burg, Gain Kim, Lukas Kull, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

This article introduces a wireline receiver (RX) data-path employing discrete multi-tone (DMT) modulation for communicating over electrical links. The DMT RX incorporates a fully digital equalization data-path, with a synthesized and automatically placed a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Gain-Cell Embedded DRAMs: Modeling and Design Space

Andreas Peter Burg, Andrea Bonetti, Adam Shmuel Teman, Robert Giterman

Among the different types of dynamic random-access memories (DRAMs), gain-cell embedded DRAM (GC-eDRAM) is a compact, low-power, and CMOS-compatible alternative to conventional static random-access memory (SRAM). GC-eDRAM achieves high memory density, as i ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Page 3 sur 11