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arXiv preprints from January 1, 2026 through September 9, 2026 — 11:04:31 EST

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Posted in eess.SP · 2026-08-19 · Emily Yang, Liyuan Guo, Seyed Mohammad Ali Zeinolabedin, Meng Zhang, Ke Yang, Matthieu Couriol, Christian Mayr, Pierre-Emmanuel Gaillardon

Robust and Efficient Feature Extraction for Spike Sorting via the Walsh-Hadamard Transform

Implantable neural interfaces require low-power real-time signal processing to remain within strict thermal and bandwidth constraints, motivating lightweight feature extraction methods for on-chip spike sorting. This work presents the Walsh-Hadamard Transform (WHT) as a hardware-efficient feature extraction method for neural spike...

💬 0 commentsarXiv:2608.19048v1PDF
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Posted in math.OC · 2026-08-19 · Amir Shakouri, Marieke Heidema, Henk J. van Waarde

Robust stabilization of discrete-time linear systems requires nonlinear dynamic feedback

This paper studies the problem of robust stabilization of linear input-state systems in discrete time. We prove that for any compact set of stabilizable systems, there exists a dynamic state-feedback controller that globally asymptotically stabilizes all systems in the set. In addition, we show that for some compact sets of...

💬 0 commentsarXiv:2608.19010v1PDF
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Posted in eess.SY · 2026-08-19 · Pol Jane-Soneira, Ognjen Stanojev, Francisco Canales Perez, Qian Long, Mario Schweizer, Matthias Biskoping

Limitations of RMS-based Stability Assessment of Converter-based Grids: A Case Study

The increasing penetration of power electronic converters in industrial grids introduces stability challenges at frequencies well above the electromechanical range of traditional power systems. Commercial software tools typically perform eigenvalue-based stability analysis using root-mean-square (RMS) models that assume a...

💬 0 commentsarXiv:2608.18989v1PDF
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Posted in cs.CV · 2026-08-19 · Sebastian Doerrich, Francesco Di Salvo, Shyam Nandan Rai, Marco Lents, Christian Ledig

Simple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching

Hardware shifts, color variations, and changing patient characteristics between development and deployment routinely break trained medical image classifiers. Existing remedies fall short: standard color jittering provides insufficient diversity, while deep generative style transfer algorithms hallucinate features, destroy clinically...

💬 0 commentsarXiv:2608.18915v1PDF
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Posted in eess.SP · 2026-08-19 · Stefano Tomasin, Annalisa Volpato, Marco Centenaro

Towards Lawful ISAC in Cellular Networks

Integrated sensing and communication (ISAC) enables the tracking and detection of passive objects, including the human body, by leveraging standard wireless communication signals. While already standardized in IEEE 802.11bf for Wi-Fi, ISAC is currently being defined by 3GPP for the upcoming generations of cellular networks. This...

💬 0 commentsarXiv:2608.18902v1PDF
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Posted in cs.IT · 2026-08-19 · Wei Jiang, Hans D. Schotten

Integrated Sensing and Communications over Hierarchical Cellular and Cell-Free MIMO Systems

This paper studies integrated sensing and communications (ISAC) over a hybrid system that seamlessly combines legacy cellular base stations with distributed cell-free (CF) access points (APs). We propose a hierarchical ISAC architecture where a central base station (CBS) serves its near users and simultaneously operates as a...

💬 0 commentsarXiv:2608.18873v1PDF
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Posted in eess.SY · 2026-08-19 · Tomáš Masopust

Deciding Relabeling Observation Consistency in Multi-Agent Discrete-Event Systems

Scalable supervisors for multi-agent discrete-event systems control groups of isomorphic agents through a common template. Under partial observation, such a supervisor is maximally permissive if the relabeling that maps the agents onto their template is relabeling observation consistent (ROC) and a local companion condition holds....

💬 0 commentsarXiv:2608.18866v1PDF
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Posted in eess.SY · 2026-08-19 · Melanie Gallant, Marc Seidel, Paolo Pazzaglia, Claudio Mandrioli, Christoph Mark, Kevin Schmidt, Frank Allgöwer, Martina Maggio

Comparing Controller Synthesis Methods with Deadline-Miss Awareness

This paper presents a comparative study of real-time controller design methods for dynamical control systems subject to deadline overruns. Numerous techniques have been proposed to handle missed deadlines, i.e., including models or information of possible deadline misses directly in the control design. These approaches substantially...

💬 0 commentsarXiv:2608.18850v1PDF
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Posted in eess.SY · 2026-08-19 · Biswarup Mukherjee

Robust Joint Planning of EV and eBus Charging Infrastructure with PV Self-Consumption under Demand Uncertainty

This paper presents a mixed-integer linear programming (MILP) framework for joint electric vehicle (EV) and electric bus (eBus) charging-infrastructure planning with photovoltaic (PV) self-consumption. The model co-optimizes charger siting, sizing, technology selection, eBus-to-depot assignment, and hourly charging schedules. A...

💬 0 commentsarXiv:2608.18844v1PDF
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Posted in eess.SY · 2026-08-19 · Lovisa Eriksson, Torbjörn Wigren, Dave Zachariah, André M. H. Teixeira

Detecting Feedback-path Delay Injection Attacks Using Interacting Multiple Model Filtering

Time-delays are known to have a detrimental effect on feedback systems. In the context of networked cyber-physical systems, delays can be injected by malicious adversaries. Detecting them early is an important challenge. This paper proposes a novel variation of Interacting Multiple Model filtering to detect delay injection attacks in...

💬 0 commentsarXiv:2608.18824v1PDF
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Posted in math.OC · 2026-08-19 · Antonios Georgantas, Stelios Timotheou, Christos G. Panayiotou

Mitigating Regional Traffic Congestion via School Start Time Scheduling: A Bilevel Alternating Optimization Approach

This paper addresses morning commute congestion caused by concentrated school-related trips in urban networks. We propose a bi-level optimization framework for regulating school start times in a multi-region urban network characterized by Macroscopic Fundamental Diagrams (MFDs), explicitly coupling system-level regulation with...

💬 0 commentsarXiv:2608.18785v1PDF
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Posted in eess.SP · 2026-08-19 · Emanuel Wennemo, Ki Won Sung, Emil Björnson

Exploiting Pilot Contamination to Improve UL Sum Rate under Maximum Ratio Combining

In this work, we show that pilot contamination can be exploited to jointly increase the uplink sum rate and reduce pilot overhead. By leveraging the effect of pilot contamination on minimum mean-square-error (MMSE) channel estimates, we demonstrate that allowing users to share or use correlated pilots can, in certain regimes, yield...

💬 0 commentsarXiv:2608.18760v1PDF
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Posted in stat.ME · 2026-08-19 · Mark Cary, Charles Bokor

Regularised Iterative Generalised Least Squares with Optimal Selection of the Hyper-Parameter for Identifying Nonlinear Phenomenological Models

In some fields currently dominated by empirical approaches, such as state of health (SoH) prediction for lithium-ion batteries, phenomenological models motivated by quasi-physical thinking contain parameters to be estimated from experimental data. Often the structure of such models yields fully or partially confounded parameters,...

💬 0 commentsarXiv:2608.18742v1PDF
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Posted in eess.SP · 2026-08-19 · James H. Hepworth, Amit Kumar Mishra

Comparing GNSS Derived Sea Ice Drift in the Arctic and Antarctic using Rotary Spectra and Principal Component Analysis

Sea ice drift underpins air-sea-ice coupling and model evaluation, but the Southern Ocean remains chronically undersampled relative to the Arctic. This work presents a cross-polar comparison of GNSS-tracked ice-drift time series using rotary spectral analysis, principal component analysis, inter-buoy coherence, complementary shape-...

💬 0 commentsarXiv:2608.18737v1PDF
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Posted in eess.SY · 2026-08-19 · Igor Ladnik

Adaptive Nonlinear Control with Online Identification and Receding-Horizon Optimization

An adaptive nonlinear optimal-control scheme is developed by combining receding-horizon iLQR, state estimation, online parameter identification, and actuator constraints. AMIGO (Adaptive Model-based Intelligent Guidance and Orchestration) organizes the computation into three Time Phases: identification, planning, and closed-loop...

💬 0 commentsarXiv:2608.18717v1PDF
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Posted in cs.CV · 2026-08-19 · Berken Utku Demirel, Christian Holz

EgoHRV: Continuous Heart Rate Variability Estimation from Egocentric Systems for Autonomic Response and Skill Assessment

Egocentric vision systems capture human behavior from visible cues, but overlook physiological indicators of autonomic states such as stress, engagement, and attention. Heart rate variability (HRV) is a widely used noninvasive marker of autonomic regulation under stress. HRV reflects small timing differences between successive...

💬 0 commentsarXiv:2608.18711v1PDF
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Posted in eess.SP · 2026-08-19 · Yunwon Tae, Minje Park, Gyunho Rho, Dongjoon Yoo, Sunghoon Joo

Change Point--Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation

Non-invasive continuous blood pressure (BP) monitoring using photoplethysmography (PPG) is a promising alternative to cuff-based measurements. However, existing PPG-based BP estimation studies predominantly rely on aggregated performance metrics (e.g., mean absolute error) computed over entire evaluation intervals, which can obscure...

💬 0 commentsarXiv:2608.18639v1PDF
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Posted in eess.SP · 2026-08-19 · Xue Xian Zheng, Xing Liu, José A. López-Salcedo, Gonzalo Seco-Granados, Tareq Y. Al-Naffouri

Coordination of Ground-to-Space Reference Networks for High-Precision GNSS

High-precision Global Navigation Satellite System (GNSS) services rely on accurate orbit, clock, atmospheric, and hardware-bias corrections generated from reference observations. These products are traditionally derived from terrestrial reference networks, whose performance strongly depends on the density and geographic distribution...

💬 0 commentsarXiv:2608.18636v1PDF
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Posted in eess.SY · 2026-08-19 · K. Taki, K. Umemoto

Payload Swing Estimation and Damping Without Payload Parameters for Multirotor UAVs

Cable-suspended payload transport by multirotor UAVs is flexible but generates periodic swing disturbance that degrades tracking and risks instability. Existing anti-swing methods require additional sensors or precise identification of cable length and payload mass, limiting field deployment. We propose a swing-estimation and damping...

💬 0 commentsarXiv:2608.18625v1PDF
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Posted in eess.SY · 2026-08-19 · Haoxiang Luo, Mohamed-Slim Alouini

Toward S^2C^2I-Integrated High-Altitude Platforms: Architectures, Cross-Functional Design, Evaluation, and Deployment Perspectives

High-altitude platforms (HAPs) are emerging as persistent middle-layer infrastructures for space-air-ground integrated networks (SAGINs), offering a favorable compromise among coverage, latency, endurance, and deployment flexibility. Their role, however, is evolving beyond communication relaying toward the joint provision of sensing,...

💬 0 commentsarXiv:2608.18587v1PDF
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Posted in eess.SP · 2026-08-19 · Domenico Ciuonzo

Score-based Fading-Aware Decision Fusion

Distributed detection of an unknown deterministic signal is studied in a wireless sensor network with low-cost nodes. Sensors apply one-bit quantization to noisy observations and transmit over Rayleigh fading to a Fusion Center (FC). Score tests, including variants using observed Fisher information, are proposed as low-complexity...

💬 0 commentsarXiv:2608.18582v1PDF
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Posted in math.PR · 2026-08-19 · Venkatkrishna Karumanchi, Ziv Goldfeld, Kengo Kato, Zhengxin Zhang

Probabilistic Representation and Convergence of Gromov-Wasserstein Gradient Flows

Wasserstein gradient flows are intimately connected with evolution partial differential equations and diffusion processes. We take the first step in developing such connections for inner product Gromov--Wasserstein (IGW) gradient flows by studying the IGW gradient flow of the relative entropy $\mathsf{H}(\cdot\|γ)$ with respect to the...

💬 0 commentsarXiv:2608.19198v1PDF
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Posted in cs.CL · 2026-08-19 · Bo Liu, Simon Yu, Yiding Jiang, Ao Qu, Andrew Zhao, Zichen Liu, Junsu Kim, Zijian Zhou, Seungone Kim, Tongzheng Ren, Mickel Liu, Hanfei Yu, Zhaorun Chen, Weiyan Shi, Paul Pu Liang, Luke Zettlemoyer, Yejin Choi, Natasha Jaques

SPADE: Self-Play in Adaptive Synthetic Executable Environments

Continuous self-improvement requires an ever-expanding pool of self-generated, diverse, adaptive goals. For language agents, existing training environment pools (hand-curated, statically synthesized, or frozen-verifier) keep the goal distribution fixed as the learner scales. We introduce SPADE (Self-Play in Adaptive Synthetic...

💬 0 commentsarXiv:2608.19197v1PDF
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Posted in math.DG · 2026-08-19 · Kwok-Kun Kwong

An improved volume bound under Ricci and scalar curvature lower bounds

We study volume comparison for closed Riemannian manifolds satisfying a positive Ricci curvature lower bound together with an improved scalar curvature lower bound. Using an integral extension of the finite shuffling comparison for scalar Jacobi solutions due to Brown and Freedman \cite{BrownFreedman2022}, we prove that if a closed...

💬 0 commentsarXiv:2608.19196v1PDF
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Posted in cs.CY · 2026-08-19 · Nicola Fabiano

Qualified Cross-References as a Verification Method: The Normative Environment of the EU AI Act

Legal cross-references are commonly represented as links between instruments or provisions. For a curated legal knowledge base, the existence of a link is only the beginning of the claim: it must also state the legal character of the interaction, identify the provisions supporting it, preserve its conditions, and remain consistent...

💬 0 commentsarXiv:2608.19194v1PDF