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Pansharpening aims to fuse high-resolution panchromatic (PAN) images with low-resolution multispectral (LRMS) images to generate high-resolution multispectral (HRMS) images. Although deep learning-based methods have achieved promising…

计算机视觉与模式识别 · 计算机科学 2025-07-29 Zeyu Xia , Chenxi Sun , Tianyu Xin , Yubo Zeng , Haoyu Chen , Liang-Jian Deng

This paper investigates the deep learning based approaches for simultaneous wireless information and power transfer (SWIPT). The quality-of-service (QoS) constrained sum-rate maximization problems are, respectively, formulated for…

信号处理 · 电气工程与系统科学 2025-02-07 Hong Han , Yang Lu , Zihan Song , Ruichen Zhang , Wei Chen , Bo Ai , Dusit Niyato , Dong In Kim

In this paper, we propose a unified SWIPT signal and its architecture design in order to take advantage of both single tone and multi-tone signaling by adjusting only the power allocation ratio of a unified signal. For this, we design a…

信息论 · 计算机科学 2021-06-29 Jong Jin Park , Jong Ho Moon , Hyeon Ho Jang , Dong In Kim

Photonic integrated switches that are both space and wavelength selective are a highly promising technology for data-intensive applications as they benefit from multi-dimensional manipulation of optical signals. However, scaling these…

光学 · 物理学 2025-01-10 Ziyao Zhang , Minjia Chen , Rui Ma , Bohao Sun , Adrian Wonfor , Richard Penty , Qixiang Cheng

Networks inside current data centers comprise a hierarchy of power-hungry electronic packet switches interconnected via optical fibers and transceivers. As the scaling of such electrically-switched networks approaches a plateau, a…

Spiking neural networks (SNNs), that operate via binary spikes distributed over time, have emerged as a promising energy efficient ML paradigm for resource-constrained devices. However, the current state-of-the-art (SOTA) SNNs require…

计算机视觉与模式识别 · 计算机科学 2021-12-23 Gourav Datta , Peter A. Beerel

In recent work on time-series prediction, Transformers and even large language models have garnered significant attention due to their strong capabilities in sequence modeling. However, in practical deployments, time-series prediction often…

机器学习 · 计算机科学 2026-02-17 Wenxuan Xie , Fanpu Cao

This paper explores the integration of simultaneous wireless information and power transfer (SWIPT) with gigantic multiple-input multiple-output (gMIMO) technology operating in the upper mid-band frequency range (7-24 GHz). The near-field…

信号处理 · 电气工程与系统科学 2025-11-03 Özlem Tugfe Demir , Mustafa Ozger , Ferdi Kara , Woong-Hee Lee , Emil Björnson

We experimentally evaluate a flexible DMT system using 4 to 8 50-GHz-grid C-band channels to transmit 448 Gb/s over up to 240 km SSMF. VSB filtering enabled by detuned lasers significantly reduces the impact of chromatic dispersion.

信号处理 · 电气工程与系统科学 2020-09-22 Annika Dochhan , Helmut Grießer , Michael Eiselt , Jörg-Peter Elbers

Novel approaches to switching ultra-fast semiconductor optical amplifiers using artificial intelligence algorithms (particle swarm optimisation, ant colony optimisation, and a genetic algorithm) are developed and applied both in simulation…

系统与控制 · 电气工程与系统科学 2020-10-28 Christopher W. F. Parsonson , Zacharaya Shabka , W. Konrad Chlupka , Bawang Goh , Georgios Zervas

Cosmological simulations require the use of a multiple time-stepping scheme. Without such a scheme, cosmological simulations would be impossible due to their high level of dynamic range; over eleven orders of magnitude in density. Such a…

分布式、并行与集群计算 · 计算机科学 2018-07-05 Josh Borrow , Richard G. Bower , Peter W. Draper , Pedro Gonnet , Matthieu Schaller

Energy efficiency has emerged as a critical challenge in modern base stations (BSs), as the power amplifier (PA) consumes a substantial portion of the total power due to its limited efficiency. We investigate waveform and mode adaptation to…

信号处理 · 电气工程与系统科学 2026-05-05 Jaebum Park , Chan-Byoung Chae , Robert W. Heath

In many modern AI chips and multicore systems-on-chip, embedded applications exhibit predictable inter-core traffic behavior that can be characterized at design time. For such applications, a variety of design-time traffic management and…

硬件体系结构 · 计算机科学 2026-05-07 Meysam Zaeemi , Mehdi Modarressi

A near-field simultaneous wireless information and power transfer (SWIPT) network is investigated, where the hybrid beamforming architecture is employed at the base station (BS) for information transmission while charging energy harvesting…

信息论 · 计算机科学 2023-05-09 Zheng Zhang , Yuanwei Liu , Zhaolin Wang , Xidong Mu , Jian Chen

For the upcoming 6G wireless networks, reconfigurable intelligent surfaces are an essential technology, enabling dynamic beamforming and signal manipulation in both reflective and transmissive modes. It is expected to utilize frequency…

Channel state information (CSI) at transmitter is crucial for massive MIMO downlink systems to achieve high spectrum and energy efficiency. Existing works have provided deep learning architectures for CSI feedback and recovery at the…

信号处理 · 电气工程与系统科学 2022-04-21 Yu-Chien Lin , Ta-Sung Lee , Zhi Ding

We design and implement a distributed multinode synchronous SGD algorithm, without altering hyper parameters, or compressing data, or altering algorithmic behavior. We perform a detailed analysis of scaling, and identify optimal design…

分布式、并行与集群计算 · 计算机科学 2016-03-02 Dipankar Das , Sasikanth Avancha , Dheevatsa Mudigere , Karthikeyan Vaidynathan , Srinivas Sridharan , Dhiraj Kalamkar , Bharat Kaul , Pradeep Dubey

Simultaneous wireless information and power transfer (SWIPT) is a promising technology for the upcoming sixth-generation (6G) communication networks, enabling internet of things (IoT) devices and sensors to extend their operational…

信号处理 · 电气工程与系统科学 2025-03-12 Cheng Luo , Jie Hu , Luping Xiang , Kun Yang

We develop a compact four-port superconducting switch with a tunable operating frequency in the range of 4.8 GHz -- 7.3 GHz. Isolation between channel exceeds 20~dB over a bandwidth of several hundred megahertz, exceeding 40 dB at some…

量子物理 · 物理学 2024-03-01 Julia Zotova , Alexander Semenov , Rui Wang , Yu Zhou , Oleg Astafiev , Jaw-Shen Tsai

On-device machine learning (ODML) enables intelligent applications on resource-constrained devices. However, power consumption poses a major challenge, forcing a trade-off between model accuracy and power efficiency that often limits model…

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