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arXiv preprints from January 1, 2026 through September 7, 2026 — 13:40:08 EST

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Posted in eess.AS · 2026-08-28 · Jack Webb, Christophe Lesimple, Volker Kuehnel, Lorenzo Picinali

Effects of HRTF Augmentation on Predicted Spatial Release from Masking in Music

Separating individual musical instruments within a complex mixture of sounds poses a persistent challenge for listeners with hearing loss. Although spatial separation of sources improves speech recognition in this population, the potential benefits of spatial cue enhancement for music perception remain largely unexplored. This paper...

💬 0 commentsarXiv:2608.28422v1PDF
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Posted in cs.CR · 2026-08-28 · Samira Jafarli, Aysha Ebrahim, Suleyman Uludag

False-CSI Attacks in Power-Domain NOMA for 6G: A Threat Taxonomy and System-Level Impacts

Power-domain non-orthogonal multiple access (NOMA) remains a widely studied technique for improving spectral efficiency and supporting dense connectivity in beyond-5G and 6G networks. Its main operating mechanisms, however, depend on the integrity of channel-state information (CSI). Power allocation, user ordering, pairing,...

💬 0 commentsarXiv:2608.28351v1PDF
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Posted in eess.SY · 2026-08-28 · Amadou Cissé, Mohamed Boutayeb

Operator-Theoretic Stability and Observer Synthesis for Parameter-Dependent Vlasov--Maxwell Dynamics

An operator--theoretic formulation is developed for the synthesis of parameter-dependent controllers and observers for the Vlasov--Maxwell system. The linearized dynamics are modeled as a non-autonomous evolution system whose generators depend on measurable plasma quantities. Well-posedness of the associated evolution family is...

💬 0 commentsarXiv:2608.28349v1PDF
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Posted in eess.SP · 2026-08-28 · Gerhard Schreiber, Chenrui Sun, Joerg Schaepperle, Le-Hang Nguyen, Thorsten Wild

Enhancing 3GPP Urban Channel Models For Terrestrial-to-Non-Terrestrial Communication

We have developed enhanced models for large-scale channel parameters intended for terrestrial-to-non-terrestrial (NTN) communication in Urban environments for supporting devices above ground levels, such as drones. The models are formulated as functions of terminal height above ground and elevation angle, applicable to S-Band and...

💬 0 commentsarXiv:2608.28331v1PDF
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Posted in eess.SY · 2026-08-28 · Rock Agon, Robin Preece, Jovica V. Milanović

Scalable Voltage-Stability Dataset Generation Via Boundary-Proximity Indicators Clustering

This paper proposes a scalable framework for voltage-stability dataset generation. Voltage-stability-constrained planning increasingly relies on machine-learning surrogates but training them requires large datasets labelled by continuation power flow (CPF) results, which is computationally costly. To address this, this paper proposes...

💬 0 commentsarXiv:2608.28298v1PDF
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Posted in eess.SY · 2026-08-28 · Rock Agon, Robin Preece, Jovica V. Milanovic

Hierarchical Agglomerative Clustering for Efficient Annual Voltage Security Assessment in Very-High RES Penetrated Power Systems

Voltage security assessment in power systems with high renewable energy source (RES) penetration requires analyzing many operating conditions to capture variability and uncertainty, but simulating a full year of operating points is computationally costly - motivating the selection of representative operating points (ROPs). Most...

💬 0 commentsarXiv:2608.28296v1PDF
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Posted in eess.SP · 2026-08-28 · Alejandro Gonzalez-Garrido, Francesco Menzione, Ottavio M. Picchi, Carla Amatetti

Beam scheduling policy for communications and PNT services from LEO satellites

Future low Earth orbit (LEO) constellations are expected to provide positioning, navigation, and timing (PNT) as a native service alongside broadband, removing the GNSS dependency inherited by 5G non-terrestrial networks. This is known in the literature as fused PNT. This paper asks how a multibeam satellites in a LEO constellation...

💬 0 commentsarXiv:2608.28217v1PDF
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Posted in eess.SP · 2026-08-28 · Badr Eddine Ouakouak, Salah Eddine Zegrar, Hüseyin Arslan

CP-Aware OFDM-Based OOK Signaling

This letter addresses the challenge of cyclic prefix (CP) problem in orthogonal frequency division multiplexing (OFDM)-based on-off keying (OOK) generation for low-power Internet of Things (IoT) systems. We propose a CP-aware waveform design that generates the OOK signal over the entire CP-OFDM symbol duration, potentially breaking...

💬 0 commentsarXiv:2608.28196v1PDF
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Posted in eess.SY · 2026-08-28 · Hongjun Xie, Bowen Zhang, Genke Yang, Pengcheng Luo

SafeLink-Agent: Agentic Maintenance for Adaptive Bitrate Controllers over Dynamic Starlink Networks

Low Earth orbit (LEO) satellite broadband, represented by Starlink, is making high-resolution video streaming feasible beyond fixed terrestrial coverage. However, Starlink access links change across time and regions, exposing adaptive bitrate (ABR) streaming to shifting throughput tails, latency, volatility, and handover conditions....

💬 0 commentsarXiv:2608.28194v1PDF
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Posted in eess.SY · 2026-08-28 · Nan Bai, Tao Liu, Qishao Wang, Zhisheng Duan

Distributed Model Predictive Control for Optimal Consensus of Constrained Heterogeneous Multi-agent Systems

This paper investigates the distributed optimal consensus control problem of constrained heterogeneous multi-agent systems within a model predictive control (MPC) scheme. Both the control input sequence and the dynamically feasible consensus equilibrium are optimized simultaneously within the proposed MPC framework to improve...

💬 0 commentsarXiv:2608.28180v1PDF
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Posted in eess.SP · 2026-08-28 · Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali

Resource Allocation for Cloud Radar Networks with Communication Constraints

Distributed radar sensing exploits spatial diversity to resolve occlusions and improve estimation accuracy. Realizing these gains, however, relies on the transmission of high-dimensional radar data to a Fusion Center (FC). This imposes significant demands on the wireless network, especially in dense, dynamic, and interference-prone...

💬 0 commentsarXiv:2608.28173v1PDF
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Posted in eess.SP · 2026-08-28 · Sebastian Schertler, Daniel Guger, Stefan Schuster, Stefan Scheiblhofer, Mario Huemer, Alexander Haberl, Johann Reisinger, Oliver Lang

Fast Time-Domain MLE for Period Estimation of Pulse Trains

Parameter estimation of periodic pulse trains is a critical task in numerous automated sensing and diagnostic applications. While estimation in the time domain provides superior accuracy in low signal-to-noise ratio environments, its high computational complexity frequently precludes its use in real-time systems. This paper...

💬 0 commentsarXiv:2608.28162v1PDF
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Posted in eess.IV · 2026-08-28 · Naren Akash, Arihanth Tadanki, Jayanthi Sivaswamy

CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs

We present CheXtriev, a graph-based, anatomy-aware framework for chest radiograph retrieval. Unlike prior methods focussed on global features, our method leverages graph transformers to extract informative features from specific anatomical regions. Furthermore, it captures spatial context and the interplay between anatomical location...

💬 0 commentsarXiv:2608.28137v1PDF
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Posted in cs.SD · 2026-08-28 · Sungho Lee, Marco Martínez-Ramírez, Junghyun Koo, Wei-Hsiang Liao, Kyogu Lee, Yuki Mitsufuji

Exploring the Design Space of Representation Learning for Audio Transformations

Neural audio representation learning has enabled a range of content-oriented applications, but the resulting features remain limited for tasks involving audio processing. Furthermore, it is not obvious what processing-aware representations should capture: the processing itself, abstracted away from source content, or the processed...

💬 0 commentsarXiv:2608.28127v1PDF
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Posted in eess.SP · 2026-08-28 · Francesco Natili, Francesco Castellani, Davide Astolfi, Matteo Becchetti

Experimental and Signal Processing Techniques for Fault Diagnosis on a Small Horizontal-Axis Wind Turbine Generator

Small HAWT is a technology characterized by non-trivial critical points, basically because it is targeted for domestic use and therefore cheap manufacturing and control must conjugate with good efficiency under possibly complex flow conditions (especially in urban environment). Therefore, dynamical control optimization and noise and...

💬 0 commentsarXiv:2608.28105v1PDF
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Posted in eess.SY · 2026-08-28 · NIklas Braun, Leon J. Brettin, Marvin Loba, Markus Maurer

Managing Inherent Risk: On the Conceptualization of Risk in Defense Systems

Certain defense systems are, by nature, deployed in a civilian environment in order to serve a defensive function for that environment. However, the risk involved with their deployment and operation poses a challenge for the public acceptance of these systems. Compared to safety engineering for civilian systems, the risk constellation...

💬 0 commentsarXiv:2608.28093v1PDF
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Posted in quant-ph · 2026-08-28 · Piotr Sierant

Exact quantification of nonlocal magic

Magic, or nonstabilizerness, is the resource that lifts Clifford circuits to universal quantum computation and has become a standard diagnostic of many-body states. For a state shared between two parties, however, a basic question has remained open: how much of the magic resides in the correlations between the parties rather than in...

💬 0 commentsarXiv:2608.28563v1PDF
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Posted in cond-mat.soft · 2026-08-28 · Ryan van Mastrigt, Zorana Zeravcic

Machine learned designs of functional colloidal foldamers

A protein's function follows from the structure it adopts, and which structure that is depends on the pathway taken. In programmable matter the target is fixed before assembly, and whatever else forms is treated as error. Here we show that pathways themselves form a design space. Using reinforcement learning, we fold model DNA-coated...

💬 0 commentsarXiv:2608.28554v1PDF
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Posted in astro-ph.EP · 2026-08-28 · David Nesvorny, Daniel A. Yahalomi, David Kipping, Cristian Beauge, Sarah C. Millholland

ExoMOD II. A Statistical Model of Transit Timing Variations in Kepler Multi-Planet Systems

In Paper I (Nesvorný et al. 2026), we forward modeled transit observations of the Kepler telescope to characterize the orbital properties of close-in planetary systems. The new population model, ExoMOD, was calibrated on Kepler's DR25 data. Here we use ExoMOD to statistically predict Transit Timing Variations (TTVs) from...

💬 0 commentsarXiv:2608.28550v1PDF
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Posted in astro-ph.EP · 2026-08-28 · David Nesvorny, Daniel A. Yahalomi, David Kipping, Cristian Beauge

ExoMOD I. A Forward Model for the Orbital Architecture of Kepler Multi-Planet Systems

Transit observations only detect planets with favorable, near edge-on orientation of orbits as seen by a distant observer, which leaves much freedom for various interpretations in terms of the underlying planetary system architecture. Here we forward model transit observations of the Kepler telescope to characterize the orbital...

💬 0 commentsarXiv:2608.28548v1PDF
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Posted in cond-mat.mtrl-sci · 2026-08-28 · Hua Chen, Philipp Gegenwart

Switchable chiral antiferromagnetism through nonlinear magnetic susceptibility

Antiferromagnets (AFM) have attracted considerable attention in recent years because a number of nontrivial, technologically relevant properties associated with time-reversal symmetry (TRS) breaking are discovered in many materials. However, time-reversal (TR) partners of AFM states are generally challenging to be selected...

💬 0 commentsarXiv:2608.28546v1PDF
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Posted in hep-ph · 2026-08-28 · Martin Hentschinski, Karina Mendoza-Ramírez, Miguel A. Ocaña-Bribiesca

The Pomeron loop as a perturbative correction to single Pomeron exchange revisited

Pomeron loops are known to arise naturally as building blocks of high energy scattering amplitudes as soon as one starts to consider corrections to single Pomeron exchange, i.e. to high energy resummation based on the Balitsky-Fadin-Kuraev-Lipatov evolution equation. While some authors argue that Pomeron loops provide only very small...

💬 0 commentsarXiv:2608.28544v1PDF
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Posted in hep-ph · 2026-08-28 · Xin Wang, Shun Zhou

Deciphering Matter Invariants via Renormalization Group Equations for Neutrino Oscillations

We utilize renormalization group equations (RGEs) for neutrino oscillations in matter to decipher the structure of exact matter invariants. By combining the RGEs with the $S^{}_3$ permutation covariance under relabeling of the neutrino mass eigenstates, we recast all five algebraically independent matter invariants in the three-flavor...

💬 0 commentsarXiv:2608.28540v1PDF
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Posted in astro-ph.EP · 2026-08-28 · Reza Ashtari, Stephen P. Schmidt, Guangwei Fu, Avinash Verma, David K. Sing, Kevin B. Stevenson, Jayesh Goyal, Katherine A. Bennett, Joshua D. Lothringer, Jacob Lustig-Yaeger, Sagnick Mukherjee, Carlos Gascón, Natalie H. Allen, Patrick McCreery, Le-Chris Wang, Mei Ting Mak, Kristin S. Sotzen, Lakeisha M. Ramos Rosado, N. J. Mayne

A Clearer View of HAT-P-1 b: JWST NIRSpec G395H Reveals Water, Carbon Dioxide, and Possibly Hydrogen Sulfide

As part of JWST's Exoplanet Grand Tour Survey, we use panchromatic transmission spectroscopy to connect HAT-P-1 b's previously studied optical and near-infrared atmosphere to the longer-wavelength molecular bands accessible with JWST. We present JWST NIRSpec G395H transmission spectroscopy of the hot Jupiter HAT-P-1 b over...

💬 0 commentsarXiv:2608.28538v1PDF