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Mass spectrometry-based metabolomic analysis depends upon the identification of spectral peaks by their mass and retention time. Statistical analysis that follows the identification currently relies on one main peak of each compound.…

Quantitative Methods · Quantitative Biology 2014-03-20 Tommi Suvitaival , Simon Rogers , Samuel Kaski

Reverberation mapping offers one of the best techniques for studying the inner regions of QSOs. It is based on cross-correlating continuum and emission-line light curves. New time-resolved optical surveys will produce well sampled light…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-05 S. Fine , T. Shanks , S. M. Croom , P. Green , B. C. Kelly , E. Berge , R. Chornock , W. S. Burgett , E. A. Magnier , P. A. Price

Fast identification methods of pressure sensors are investigated. With regard to a complete accurate sensor parameter identification two different measurement methods are combined. The approach consists on one hand in performing static…

Other Computer Science · Computer Science 2008-02-22 S. Michael , S. Kurth , J. Klattenhoff , H. Geissler , S. Hering

An adaptive interpolation scheme is proposed to accurately calculate the wideband responses in electromagnetic simulations. In the proposed scheme, the sampling points are first carefully divided into several groups based on their responses…

Computational Engineering, Finance, and Science · Computer Science 2022-03-14 Kai Zhu , Jinhui Wang , Shunchuan Yang

Integrating biology with complementary metal-oxide-semiconductor (CMOS) sensors can enable highly parallel measurements with minimal parasitic effects, significantly enhancing sensitivity. However, realizing this potential often requires…

Respiratory rate (RR) monitoring is integral to understanding physical and mental health and tracking fitness. Existing studies have demonstrated the feasibility of RR monitoring under specific user conditions (e.g., while remaining still,…

Human-Computer Interaction · Computer Science 2024-07-10 Yang Liu , Kayla-Jade Butkow , Jake Stuchbury-Wass , Adam Pullin , Dong Ma , Cecilia Mascolo

Reward modeling is central to alignment pipelines such as RLHF, RLAIF, and PPO-based policy optimization, yet its reliability is constrained by limited and heterogeneous human preference data that are expensive to collect at scale. While…

Machine Learning · Computer Science 2026-05-26 Payel Bhattacharjee , Osvaldo Simeone , Ravi Tandon

Compared to the current wireless communication systems, millimeter wave (mm-Wave) promises a wide range of spectrum. As viable alternatives to existing mm-Wave channel models, various map-based channel models with different modeling methods…

Information Theory · Computer Science 2019-07-11 Yeon-Geun Lim , Yae Jee Cho , MinSoo Sim , Younsun Kim , Chan-Byoung Chae , Reinaldo A. Valenzuela

Ongoing effort has been devoted to applying metamaterials to boost the imaging performance of magnetic resonance imaging owing to their unique capacity for electromagnetic field confinement and enhancement. However, there are still major…

Medical Physics · Physics 2023-10-03 Ke Wu , Xia Zhu , Xiaoguang Zhao , Stephan W. Anderson , Xin Zhang

This paper is concerned with the channel estimation problem in Millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the mmWave channel, we first propose a fast channel estimation…

Information Theory · Computer Science 2016-11-17 Matthew Kokshoorn , He Chen , Peng Wang , Yonghui Li , Branka Vucetic

The multivariate adaptive regression spline (MARS) is one of the popular estimation methods for nonparametric multivariate regressions. However, as MARS is based on marginal splines, to incorporate interactions of covariates, products of…

Methodology · Statistics 2023-07-06 Yu Liu , Degui Li , Yingcun Xia

This paper considers a hybrid approach to joint estimation of channel information and antenna impedance, for single-input, single-output channels. Based on observation of training sequences via synchronously switched load at the receiver,…

Signal Processing · Electrical Eng. & Systems 2020-06-23 Shaohan Wu , Brian L. Hughes

Moir\'e superlattices comprised of stacked two-dimensional materials present a versatile platform for engineering and investigating new emergent quantum states of matter. At present, the vast majority of investigated systems have long…

In high-noise environments such as factories, subways, and busy streets, capturing clear speech is challenging. Throat microphones can offer a solution because of their inherent noise-suppression capabilities; however, the passage of sound…

Sound · Computer Science 2026-04-23 Yunsik Kim , Yonghun Song , Yoonyoung Chung

The promise of increasing channel counts in high density ($> 10^4$) neural Microelectrode Arrays (MEAs) for high resolution recording comes with the curse of developing faster characterization strategies for concurrent acquisition of…

Signal Processing · Electrical Eng. & Systems 2024-03-13 Akwasi Akwaboah , Ralph Etienne-Cummings

Mutual Coupling (MC) emerges as an inherent feature in Reconfigurable Intelligent Surfaces (RISs), particularly, when they are fabricated with sub-wavelength inter-element spacing. Hence, any physically-consistent model of the RIS operation…

Information Theory · Computer Science 2024-06-11 Dilki Wijekoon , Amine Mezghani , George C. Alexandropoulos , Ekram Hossain

In this paper, we investigate a state-of-the-art reconfigurable intelligent surface (RIS)-assisted spatial scattering modulation (SSM) scheme for millimeter-wave (mmWave) systems, where a more practical scenario that the RIS is near the…

Information Theory · Computer Science 2023-09-01 Xusheng Zhu , Wen Chen , Zhendong Li , Qingqing Wu , Ziheng Zhang , Kunlun Wang , Jun Li

Wrinkle defects were found widely exist in the field of industrial products, i.e. wind turbine blades and filament-wound composite pressure vessels. The magnitude of wrinkle wavelength varies from several millimeters to over one hundred…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Li Ma , Shoulong Wang , Changchen Liu , Ange Wen , Kaidi Ying , Jing Guo

We propose a modification of the Mapper algorithm that removes the assumption of a single resolution scale across semantic space and improves the robustness of the results under change of parameters. Our work is motivated by datasets where…

Machine Learning · Computer Science 2025-04-03 Kaleb D. Ruscitti , Leland McInnes

Mutual coupling is increasingly important in reconfigurable intelligent surface (RIS)-aided communications, particularly when RIS elements are densely integrated in applications such as holographic communications. This paper experimentally…

Signal Processing · Electrical Eng. & Systems 2024-07-02 Pinjun Zheng , Ruiqi Wang , Atif Shamim , Tareq Y. Al-Naffouri
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