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Modern magnetic resonance imaging (MRI) relies on application-specific multi-channel receive coils to achieve high performance, but these coils are typically costly, rigid, and difficult to generalize across anatomies. Recent wireless,…

Medical Physics · Physics 2026-05-26 Yuhan Liu , Xia Zhu , Ke Wu , Artem Kaliaev , Christina A. LeBedis , Stephan W. Anderson , Xin Zhang

The average symbol error probability (SEP) of a phase-quantized single-input multiple-output system with M-ary phase-shift keying modulation and maximum ratio combining (MRC) is analyzed under correlated Rayleigh fading and additive white…

Signal Processing · Electrical Eng. & Systems 2026-04-30 Amila Ravinath , Bikshapathi Gouda , Italo Atzeni , Antti Tölli

We convert the information-rich measurements of parallel and phased-array MRI into noisier data that a corresponding single-coil scanner could have taken. Specifically, we replace the responses from multiple receivers with a linear…

Image and Video Processing · Electrical Eng. & Systems 2020-11-25 Mark Tygert , Jure Zbontar

In this paper, we study several microphone channel selection and weighting methods for robust automatic speech recognition (ASR) in noisy conditions. For channel selection, we investigate two methods based on the maximum likelihood (ML)…

Sound · Computer Science 2016-10-04 Zhaofeng Zhang , Xiong Xiao , Longbiao Wang , EngSiong Chng , Haizhou Li

The large beamforming gain used to operate at millimeter wave (mmWave) frequencies requires obtaining channel information to configure hybrid antenna arrays. Previously proposed wideband channel estimation strategies, however, assume…

Signal Processing · Electrical Eng. & Systems 2019-06-06 Javier Rodriguez-Fernandez , Nuria Gonzalez-Prelcic

This paper proposes novel spectrum sensing algorithms for cognitive radio networks. By assuming known transmitter pulse shaping filter, synchronous and asynchronous receiver scenarios have been considered. For each of these scenarios, the…

Optimization and Control · Mathematics 2013-12-31 Tadilo Endeshaw Bogale , Luc Vandendorpe

Ultra-low field magnetic resonance imaging(ULF-MRI) systems operating in open environments are highly susceptible to composite electromagnetic interference(EMI). Different imaging channels respond non-uniformly to EMI owing to their…

Signal Processing · Electrical Eng. & Systems 2025-09-09 Jiali He , Sheng Shen , Jiamin Wu , Xiaohan Kong , Yamei Dai , Liang Tan , Zheng Xu

Hyperspectral imaging offers detailed spectral information for mineral mapping; however, weak mineral signatures are often masked by noisy and redundant bands, limiting detection performance. To address this, we propose a two-stage…

Machine Learning · Computer Science 2025-08-06 Judy X Yang

MRI signal acquisition with multiple coils in a phased array is nowadays commonplace. The use of multiple receiver coils increases the signal-to-noise ratio (SNR) and enables accelerated parallel imaging methods. Some of these methods, like…

The signal-to-noise ratio (SNR) in magnetic resonance imaging (MRI) governs the quality of signal detection and directly impacts the clarity and reliability of the acquired images. Recent advances in metamaterials have enabled lightweight…

Medical Physics · Physics 2026-01-27 Yuhan Liu , Xia Zhu , Ke Wu , Stephan W. Anderson , Xin Zhang

Accelerated magnetic resonance (MR) imaging attempts to reduce acquisition time by collecting data below the Nyquist rate. As an ill-posed inverse problem, many plausible solutions exist, yet the majority of deep learning approaches…

Image and Video Processing · Electrical Eng. & Systems 2023-06-05 Jeffrey Wen , Rizwan Ahmad , Philip Schniter

In recent years there has been growing interest in measuring time-varying functional connectivity between different brain regions using resting-state functional magnetic resonance imaging (rs-fMRI) data. One way to assess the relationship…

Signal Processing · Electrical Eng. & Systems 2020-09-23 Hamed Honari , Ann S. Choe , Martin A. Lindquist

Reducing the scanning time of very-low field (VLF) magnetic resonance imaging (MRI) scanners, commonly employed for stroke diagnosis, can enhance patient comfort and operational efficiency. The conventional parallel imaging (PI) technique…

Medical Physics · Physics 2025-12-24 Lei Yang , Wei He , Sheng Shen , Yucheng He , Jiamin Wu , Zheng Xu

Composed Image Retrieval (CIR) seeks to find a target image using a multi-modal query, which combines an image with modification text to pinpoint the target. While recent CIR methods have shown promise, they mainly focus on exploring…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Peng Gao , Yujian Lee , Zailong Chen , Hui zhang , Xubo Liu , Yiyang Hu , Guquang Jing

Neuroimaging studies based on magnetic resonance imaging (MRI) typically employ rigorous forms of preprocessing. Images are spatially normalized to a standard template using linear and non-linear transformations. Thus, one can assume that a…

Computer Vision and Pattern Recognition · Computer Science 2019-11-15 Fabian Eitel , Jan Philipp Albrecht , Friedemann Paul , Kerstin Ritter

Oscillator output generally has phase noise causing the output power spectral density (PSD) to disperse around a Dirac delta function. In this paper, the AWGN channel is considered, where the sent signal accompanying with phase noise is…

Information Theory · Computer Science 2022-06-14 Amir Alizadeh , Ghosheh Abed Hodtani

Quantitative magnetic resonance imaging (qMRI) allows images to be compared across sites and time points, which is particularly important for assessing long-term conditions or for longitudinal studies. The multiparametric mapping (MPM)…

Signal Processing · Electrical Eng. & Systems 2024-10-24 Klara Baś , Christian Lambert , John Ashburner

Anatomy-specific RF receive coil arrays routinely adopted in magnetic resonance imaging (MRI) for signal acquisition, are commonly burdened by their bulky, fixed, and rigid configurations, which may impose patient discomfort, bothersome…

Medical Physics · Physics 2023-12-21 Ke Wu , Xia Zhu , Stephan W. Anderson , Xin Zhang

We introduce a noise-aware extension to the parametric maximum-likelihood framework for component separation by modeling correlated $1/f^\alpha$ noise as a harmonic-space power law. This approach addresses a key limitation of existing…

Cosmology and Nongalactic Astrophysics · Physics 2025-11-07 Goureesankar Sathyanathan , Josquin Errard , Soumen Basak

We consider the multiple-input multiple-output (MIMO) communication channel impaired by phase noises at both the transmitter and receiver. We focus on the maximum likelihood (ML) detection problem for uncoded single-carrier transmission. We…

Information Theory · Computer Science 2017-08-09 Richard Combes , Sheng Yang
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