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The Single Carrier-Frequency Division Multiple Access (SC-FDMA) is a transmission technique used in the uplink of Long Term Evolution (LTE) and 5G systems, as it is characterized by reduced transmitted signal envelope fluctuations in…

Networking and Internet Architecture · Computer Science 2025-01-22 Pawel Kryszkiewicz

Ultra-high-definition (UHD) image restoration often faces computational bottlenecks and information loss due to its extremely high resolution. Existing studies based on Variational Autoencoders (VAE) improve efficiency by transferring the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Yidi Liu , Dong Li , Yuxin Ma , Jie Huang , Wenlong Zhang , Xueyang Fu , Zheng-jun Zha

Most deep learning-based models for speech enhancement have mainly focused on estimating the magnitude of spectrogram while reusing the phase from noisy speech for reconstruction. This is due to the difficulty of estimating the phase of…

Sound · Computer Science 2019-04-03 Hyeong-Seok Choi , Jang-Hyun Kim , Jaesung Huh , Adrian Kim , Jung-Woo Ha , Kyogu Lee

Many components used in signal processing and communication applications, such as power amplifiers and analog-to-digital converters, are nonlinear and have a finite dynamic range. The nonlinearity associated with these devices distorts the…

Information Theory · Computer Science 2014-10-29 Kai Ying , Zhenhua Yu , Robert J. Baxley , G. Tong Zhou

Articulatory trajectories like electromagnetic articulography (EMA) provide a low-dimensional representation of the vocal tract filter and have been used as natural, grounded features for speech synthesis. Differentiable digital signal…

Audio and Speech Processing · Electrical Eng. & Systems 2024-09-05 Yisi Liu , Bohan Yu , Drake Lin , Peter Wu , Cheol Jun Cho , Gopala Krishna Anumanchipalli

With global IMT traffic expected to grow 10-100 times from 2020 to 20301, the Terahertz (THz) spectrum offers a promising solution to satisfy such forecasts. However, occupying the THz spectrum comes with its own challenges, an important…

Signal Processing · Electrical Eng. & Systems 2025-08-14 Lutfi Samara , Simon Haussmann , Erind Tufa , Antonio Alberto D'Amico , Tommaso Zugno , Ingmar Kallfass , Thomas Kürner

Post-hoc explanation methods attempt to make the inner workings of deep neural networks more interpretable. However, since a ground truth is in general lacking, local post-hoc interpretability methods, which assign importance scores to…

Machine Learning · Computer Science 2023-11-27 Lennart Brocki , Neo Christopher Chung

Image deblurring aims to restore high-quality images by removing undesired degradation. Although existing methods have yielded promising results, they either overlook the varying degrees of degradation across different regions of the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Hu Gao , Depeng Dang

Traditionally, Volt/VAR optimization (VVO) is performed in distribution networks through legacy devices such as on-load tap changers (OLTCs), voltage regulators (VRs), and capacitor banks. With the amendment in IEEE 1547 standard,…

Systems and Control · Electrical Eng. & Systems 2023-08-31 Mohd Asim Aftab , Astha Chawla , Pedro P. Vergara , Shehab Ahmed , Charalambos Konstantinou

Capacity is the eternal pursuit for communication systems due to the overwhelming demand of bandwidth hungry applications. As the backbone infrastructure of modern communication networks, the optical fiber transmission system undergoes a…

Information Theory · Computer Science 2017-07-27 Qiong Wu , Zhenhua Feng , Ming Tang , Xiang Li , Ming Luo , Huibin Zhou , Songnian Fu , Deming Liu

Depth enhancement, which converts raw dToF signals into dense depth maps using RGB guidance, is crucial for improving depth perception in high-precision tasks such as 3D reconstruction and SLAM. However, existing methods often assume ideal…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Jijun Xiang , Longliang Liu , Xuan Zhu , Xianqi Wang , Min Lin , Xin Yang

In this study, an efficient reanalysis strategy for dynamic topology optimization is proposed. Compared with other related studies, an online successive dynamic reanalysis method and POD-based approximate dynamic displacement strategy are…

Numerical Analysis · Mathematics 2023-05-16 Shuhao Li , Hu Wang , Jichao Yin , Daozhen Guo , Guangyao Li

Recently, records on stereo matching benchmarks are constantly broken by end-to-end disparity networks. However, the domain adaptation ability of these deep models is quite limited. Addressing such problem, we present a novel…

Computer Vision and Pattern Recognition · Computer Science 2021-12-10 Xiao Song , Guorun Yang , Xinge Zhu , Hui Zhou , Yuexin Ma , Zhe Wang , Jianping Shi

The increasing demand on the internet trafficking to meet the demands of video streaming and mobile communication has exerted too much pressure. Accordingly, this demand will result in providing high bandwidth which in turn increase the use…

Signal Processing · Electrical Eng. & Systems 2020-09-29 Bashar J. Hamza , Wasan Kadhim Saad , Mohamed Ahmed AbdulNabi , Waheb A. Jabbar , Ibraheem Shayea

Undulators are used in storage rings to produce extremely brilliant synchrotron radiation. In the ideal case, a perfectly tuned undulator always has a first and second field integrals equal to zero. But, in practice, field integral changes…

Accelerator Physics · Physics 2024-09-30 Bianca Veglia , Ilya Agapov , Joachim Keil

Efficiently representing supply and demand curves is vital for energy market analysis and downstream modelling; however, dimensionality reduction often produces reconstructions that violate fundamental economic principles such as…

Machine Learning · Computer Science 2026-02-04 Martin Výboh , Zuzana Chladná , Gabriela Grmanová , Mária Lucká

Deep Neural Networks are successful but highly computationally expensive learning systems. One of the main sources of time and energy drains is the well known backpropagation (backprop) algorithm, which roughly accounts for 2/3 of the…

Machine Learning · Computer Science 2020-04-17 Simon Wiedemann , Temesgen Mehari , Kevin Kepp , Wojciech Samek

Backstepping design for boundary linear PDE is formulated as a convex optimization problem. Some classes of parabolic PDEs and a first-order hyperbolic PDE are studied, with particular attention to non-strict feedback structures. Based on…

Systems and Control · Computer Science 2017-10-11 Pedro Ascencio , Alessandro Astolfi , Thomas Parisini

In this letter, we study the impact of nonlinear high power amplifier (HPA) on simultaneous wireless information and power transfer (SWIPT), for a point-to-point multiple-input multiple-output communication system. We derive the rate-energy…

Information Theory · Computer Science 2020-08-17 Priyadarshi Mukherjee , Souhir Lajnef , Ioannis Krikidis

The projector augmented wave (PAW) method of Bl\"ochl linearly maps smooth pseudo wavefunctions to the highly oscillatory all-electron DFT orbitals. Compared to norm-conserving pseudopotentials (NCPP), PAW has the advantage of lower kinetic…

Chemical Physics · Physics 2023-12-25 Minh Nguyen , Tim Duong , Daniel Neuhauser