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Length-matching is an important technique to balance delays of bus signals in high-performance PCB routing. Existing routers, however, may generate dense meander segments with small distance. Signals propagating across these meander…

Hardware Architecture · Computer Science 2017-05-16 Tsun-Ming Tseng , Bing Li , Tsung-Yi Ho , Ulf Schlichtmann

Length-matching is an important technique to bal- ance delays of bus signals in high-performance PCB routing. Existing routers, however, may generate very dense meander segments. Signals propagating along these meander segments exhibit a…

Hardware Architecture · Computer Science 2017-05-16 Tsun-Ming Tseng , Bing Li , Tsung-Yi Ho , Ulf Schlichtmann

We present the use of grounding airbridge arrays to trim the frequency of microwave coplanar-waveguide (CPW) resonators post fabrication. This method is compatible with the fabrication steps of conventional CPW airbridges and crossovers and…

Speech pre-processing techniques such as denoising, de-reverberation, and separation, are commonly employed as front-ends for various downstream speech processing tasks. However, these methods can sometimes be inadequate, resulting in…

Audio and Speech Processing · Electrical Eng. & Systems 2025-06-17 Sirui Li , Shuai Wang , Zhijun Liu , Zhongjie Jiang , Yannan Wang , Haizhou Li

A significant problem for current quantum computers is noise. While there are many distinct noise channels, the depolarizing noise model often appropriately describes average noise for large circuits involving many qubits and gates. We…

Off-road semantic segmentation is fundamentally challenged by irregular terrain, vegetation clutter, and inherent annotation ambiguity. Unlike urban scenes with crisp object boundaries, off-road environments exhibit strong class-level…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Seongkyu Choi Jhonghyun An

Recent advancements in automatic speech recognition (ASR) have achieved notable progress, whereas robustness in noisy environments remains challenging. While speech enhancement (SE) front-ends are widely used to mitigate noise as a…

Sound · Computer Science 2025-09-29 Siyi Zhao , Wei Wang , Yanmin Qian

We investigate a domain decomposed multigrid technique, segmental refinement, for solving general nonlinear elliptic boundary value problems. Brandt and Diskin first proposed this method in 1994; we continue this work by analytically and…

Numerical Analysis · Mathematics 2016-09-06 Mark F. Adams , Jed Brown , Matt Knepley , Ravi Samtaney

Binary memristive crossbars have gained huge attention as an energy-efficient deep learning hardware accelerator. Nonetheless, they suffer from various noises due to the analog nature of the crossbars. To overcome such limitations, most…

Neural and Evolutionary Computing · Computer Science 2022-01-06 Youngeun Kim , Hyunsoo Kim , Seijoon Kim , Sang Joon Kim , Priyadarshini Panda

We present a simple and efficient method for refining maps or correspondences by iterative upsampling in the spectral domain that can be implemented in a few lines of code. Our main observation is that high quality maps can be obtained even…

Graphics · Computer Science 2019-09-13 Simone Melzi , Jing Ren , Emanuele Rodolà , Abhishek Sharma , Peter Wonka , Maks Ovsjanikov

Background noise and room reverberation are regarded as two major factors to degrade the subjective speech quality. In this paper, we propose an integrated framework to address simultaneous denoising and dereverberation under complicated…

Sound · Computer Science 2021-06-25 Andong Li , Wenzhe Liu , Xiaoxue Luo , Guochen Yu , Chengshi Zheng , Xiaodong Li

Off-road semantic segmentation suffers from thick, inconsistent boundaries, sparse supervision for rare classes, and pervasive label noise. Designs that fuse only at low resolution blur edges and propagate local errors, whereas maintaining…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Seongkyu Choi , Jhonghyun An

We present a lightweight post-processing method to refine the semantic segmentation results of point cloud sequences. Most existing methods usually segment frame by frame and encounter the inherent ambiguity of the problem: based on a…

Computer Vision and Pattern Recognition · Computer Science 2022-12-02 Yutaka Momma , Weimin Wang , Edgar Simo-Serra , Satoshi Iizuka , Ryosuke Nakamura , Hiroshi Ishikawa

Cross-modal retrieval aims to align different modalities via semantic similarity. However, existing methods often assume that image-text pairs are perfectly aligned, overlooking Noisy Correspondences in real data. These misaligned pairs…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Zhuoyao Liu , Yang Liu , Wentao Feng , Shudong Huang

Microphone array post-filters have demonstrated their ability to greatly reduce noise at the output of a beamformer. However, current techniques only consider a single source of interest, most of the time assuming stationary background…

Sound · Computer Science 2016-03-11 Jean-Marc Valin , Jean Rouat , François Michaud

Looped transformers scale computational depth without increasing parameter count by repeatedly applying a shared transformer block and can be used for iterative refinement, where each loop rewrites a full fixed-size prediction in parallel.…

Machine Learning · Computer Science 2026-04-22 Chris Cameron , Wangzheng Wang , Nikita Ivanov , Ashmita Bhattacharyya , Didier Chételat , Yingxue Zhang

Quantum computation promises to advance a wide range of computational tasks. However, current quantum hardware suffers from noise and is too small for error correction. Thus, accurately utilizing noisy quantum computers strongly relies on…

Optimization and Control · Mathematics 2024-12-16 Friedrich Wagner , Daniel J. Egger , Frauke Liers

Design of printed circuit board (PCB) stack-up requires the consideration of characteristic impedance, insertion loss and crosstalk. As there are many parameters in a PCB stack-up design, the optimization of these parameters needs to be…

Other Statistics · Statistics 2019-11-12 Jiayi He , Aravind Sampath Kumar , Arun Chada , Bhyrav Mutnury , James Drewniak

We present a hybrid framework that leverages the trade-off between temporal and frequency precision in audio representations to improve the performance of speech enhancement task. We first show that conventional approaches using specific…

Audio and Speech Processing · Electrical Eng. & Systems 2018-12-24 Jang-Hyun Kim , Jaejun Yoo , Sanghyuk Chun , Adrian Kim , Jung-Woo Ha

Departing from traditional communication theory where decoding algorithms are assumed to perform without error, a system where noise perturbs both computational devices and communication channels is considered here. This paper studies…

Information Theory · Computer Science 2010-05-31 Lav R. Varshney
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