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20082026
most citedA Survey on Visual Transformer

4.4k citations

Showing 2021 · eess.SPShow all

7 papers · 2 filters

eess.SP2021★ 142 cited

Rethinking Modern Communication from Semantic Coding to Semantic Communication

Kun Lu, Qingyang Zhou, Rongpeng Li +4

Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message. This article rethinks these two major features and in…

eess.SP2021★ 53 cited

1.71 Tb/s Single-Channel and 56.51 Tb/s DWDM Transmission over 96.5 km Field-Deployed SSMF

Fabio Pittala, Ralf-Peter Braun, Georg Boecherer +11

We report an industry leading optical dense wavelength division multiplexing (DWDM) field trial with line rates per channel exceeding 1.66 Tb/s using 130 GBaud dual-polarization pr…

eess.SP2021

ICINet: ICI-Aware Neural Network Based Channel Estimation for Rapidly Time-Varying OFDM Systems

Yi Sun, Hong Shen, Zhenguo Du +2

A novel intercarrier interference (ICI)-aware orthogonal frequency division multiplexing (OFDM) channel estimation network ICINet is presented for rapidly time-varying channels. IC…

eess.SP2021

Passive Beamforming Design for Intelligent Reflecting Surface Assisted MIMO Systems

Chenghao Feng, Wenqian Shen, Xinyu Gao +1

Intelligent reflecting surfaces (IRSs) constitute passive devices, which are capable of adjusting the phase shifts of their reflected signals, and hence they are suitable for passi…

eess.SP2021★ 1 cited

Real-time Streaming Wave-U-Net with Temporal Convolutions for Multichannel Speech Enhancement

Vasiliy Kuzmin, Fyodor Kravchenko, Artem Sokolov +1

In this paper, we describe the work that we have done to participate in Task1 of the ConferencingSpeech2021 challenge. This task set a goal to develop the solution for multi-channe…

eess.SP2021

SNR-adaptive deep joint source-channel coding for wireless image transmission

Mingze Ding, Jiahui Li, Mengyao Ma +1

Considering the problem of joint source-channel coding (JSCC) for multi-user transmission of images over noisy channels, an autoencoder-based novel deep joint source-channel coding…