Publications associées à VDSL

First Demonstration of Erbium -Doped Waveguide Amplifier Enabled Multi-Tb/s (16x1.6T) Coherent Transmission

Tobias Kippenberg, Xinru Ji, Zheru Qiu, Yang Liu, Xi Chen

We demonstrate the first EDWA-enabled Terabit-class coherent optical communication with 1.6-Tb/s net bit rate per channel and 16 -channel WDM transmission over 81 -km fiber, proving the potential of such on-chip amplification for future coherent applicatio ...

IEEE2023

On Block Prediction For Learning-Based Point Cloud Compression

Touradj Ebrahimi, Evangelos Alexiou

Point clouds are among popular visual representations for immersive media. However, the vast amount of information generated during their acquisition requires effective compression for practical applications. Although relevant activities from standardizati ...

IEEE2021

Identification of Non-Linear RF Systems Using Backpropagation

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

In this work, we use deep unfolding to view cascaded non-linear RF systems as model-based neural networks. This view enables the direct use of a wide range of neural network tools and optimizers to efficiently identify such cascaded models. We demonstrate ...

IEEE2020

Hybrid integrated photonics using bulk acoustic resonators

Tobias Kippenberg, Michail Zervas, Junqiu Liu

Integrated photonic devices based on Si3N4 waveguides allow for the exploitation of nonlinear frequency conversion, exhibit low propagation loss, and have led to advances in compact atomic clocks, ultrafast ranging, and spectroscopy. Yet, the lack of Pocke ...

2020

ISI Sensitivity of PAM Signaling for Very High-Speed Short-Reach Copper Links

Seyed Armin Tajalli, Yusuf Leblebici, Firat Çelik, Ayça Akkaya

This paper presents a comparative study, analyzing the potentials of pulse amplitude modulation (PAM) for implementing next generation high-speed copper wireline links. This comparative study analyzes the sensitivities of PAM2, PAM4 and PAM8 to inter-symbo ...

IEEE2019

On Cyclic Dependencies and Regulators in Time-Sensitive Networks

Jean-Yves Le Boudec, Ludovic Bernard Gérard Thomas

For time-sensitive networks, as in the context of IEEE TSN and IETF Detnet, cyclic dependencies are associated with certain fundamental properties such as improving availability and decreasing reconfiguration effort. Nevertheless, the existence of cyclic d ...

IEEE2019

On Cyclic Dependencies and Regulators in Time-Sensitive Networks

Jean-Yves Le Boudec, Ludovic Bernard Gérard Thomas

IEEE2019

Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios

Andreas Peter Burg, Andreas Toftegaard Kristensen

In-band full-duplex systems allow for more efficient use of temporal and spectral resources by transmitting and receiving information at the same time and on the same frequency. However, this creates a strong self-interference signal at the receiver, makin ...

IEEE2019

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VDSL

First Demonstration of Erbium -Doped Waveguide Amplifier Enabled Multi-Tb/s (16x1.6T) Coherent Transmission

On Block Prediction For Learning-Based Point Cloud Compression

Identification of Non-Linear RF Systems Using Backpropagation

Physical Layer Aspects of LoRa and Full-Duplex Wireless Transceivers

Performance of chip-scale optical frequency comb generators in coherent WDM communications

Hybrid integrated photonics using bulk acoustic resonators

ISI Sensitivity of PAM Signaling for Very High-Speed Short-Reach Copper Links

On Cyclic Dependencies and Regulators in Time-Sensitive Networks

On Cyclic Dependencies and Regulators in Time-Sensitive Networks

Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios

Graph Chatbot

Chattez avec Graph Search

Physical Layer Aspects of LoRa and Full-Duplex Wireless Transceivers

Performance of chip-scale optical frequency comb generators in coherent WDM communications

First Demonstration of Erbium -Doped Waveguide Amplifier Enabled Multi-Tb/s (16x1.6T) Coherent Transmission

On Block Prediction For Learning-Based Point Cloud Compression

Advanced Machine Learning Techniques for Self-Interference Cancellation in Full-Duplex Radios

ISI Sensitivity of PAM Signaling for Very High-Speed Short-Reach Copper Links

On Cyclic Dependencies and Regulators in Time-Sensitive Networks

On Cyclic Dependencies and Regulators in Time-Sensitive Networks

Identification of Non-Linear RF Systems Using Backpropagation

Hybrid integrated photonics using bulk acoustic resonators