eess.SP papers | Gist.Science

The intersection of electrical engineering and space physics explores how human-made systems interact with the vast, dynamic environment of our planet's upper atmosphere and beyond. From satellites orbiting Earth to the invisible magnetic fields that protect us, this field examines the complex dance between technology and the cosmos, revealing how space weather can disrupt communications or power grids on the ground.

Gist.Science ensures these critical discoveries remain accessible by processing every new preprint in this category directly from arXiv. We transform dense academic texts into clear, plain-language overviews alongside detailed technical summaries, making the latest research understandable for everyone from students to industry professionals. Below are the latest papers in this dynamic field, ready for you to explore.

⚡ electrical engineering

Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective

This paper establishes that the Burer-Monteiro factorization of fixed-rank positive semidefinite matrix optimization problems exhibits a favorable global landscape under Riemannian quotient geometry, dividing the search space into regions of geodesic strong convexity, strict saddle neighborhoods, and large gradients, thereby providing a geometric explanation for the success of vanilla gradient descent.

Yuetian Luo, Nicolas Garcia Trillos2026-07-21

⚡ electrical engineering

On Pareto-Optimal Estimation-Information Performance Limits of MIMO Integrated Sensing and Communications Systems

This paper investigates the fundamental joint estimation and information performance limits of MIMO integrated sensing and communications systems, specifically characterizing their Pareto-optimal trade-offs.

Zi-Jie Wang, Xudong Wang, Giuseppe Caire2026-07-21

⚡ electrical engineering

Aliased Time-Modulated Array OFDM Transmit System

This paper proposes an OFDM-based time-modulated array system that utilizes a precoder to alias harmonic components, thereby simultaneously reducing switching frequency and out-of-band sideband radiation at the cost of proportional communication capacity.

Marcin Wachowiak, Kamil Yavuz Kapusuz, André Bourdoux, Sofie Pollin2026-07-21

⚡ electrical engineering

From Intent to Infrastructure: LLM-Driven Agent Compilers for ISAC Networks

This paper introduces the Agent Compiler, a large language model-driven framework that translates high-level engineering intent into executable Integrated Sensing and Communications (ISAC) system configurations via a four-stage process and a verifiable intermediate representation, while maintaining strict time-scale separation between strategic LLM decisions and real-time algorithmic control.

Lijie Zheng, Xudong Zhong, Baoquan Ren, Xiangwu Gong, Xinghui Zhu, Ji He2026-07-21

⚡ electrical engineering

ECG-LLM: Foundation Model for ECG-Based Cardiac Reasoning

The paper introduces ECG-LLM, a foundation model trained on over 679,000 ECG studies using multimodal supervision to enable question-driven cardiovascular reasoning that predicts complex imaging-derived phenotypes and supports front-line triage decisions beyond traditional fixed-label diagnostics.

Alexander Selivanov, Friederike Jungmann, Jan Kehrer, Karl-Ludwig Laugwitz, Eimo Martens, Daniel Rueckert2026-07-21

🔢 mathematics

EML-AirComp: Layered Over-the-Air Computation from a Single Nomographic Gate

This paper introduces EML-AirComp, a framework that enables efficient over-the-air computation of complex functions by reusing a single two-input exp-minus-log gate across an entire computation tree, while providing rigorous analysis of noise resilience, error propagation, and feasibility under practical power and positivity constraints.

Onur Günlü2026-07-21

⚡ electrical engineering

Toward a Stable and Deployable Adaptive Chirplet Transform: Residual Projection, Hybrid GPU Acceleration, and Multi-Channel Scalability

This paper presents a stable and deployable Adaptive Chirplet Transform that resolves algorithmic divergence through residual projection and unit normalization while achieving significant computational efficiency via a hybrid CPU-GPU architecture, multi-channel batching, and a hierarchical coarse-to-fine search strategy.

Nishant Kumar, Steve Mann2026-07-21

⚡ electrical engineering

EEGPrep: a validated Python implementation of the EEGLAB preprocessing pipeline

EEGPrep is a validated Python implementation that faithfully reproduces the default EEGLAB preprocessing pipeline with numerical precision comparable to the original MATLAB version, while enabling seamless deployment in Python and cloud workflows with BIDS support.

Arnaud Delorme, Suraj Ranganath, Christian Kothe, Aman Jaiswal, Scott Makeig, Bruno Aristimunha2026-07-21

⚡ electrical engineering

Power-Domain-Multiplexed Precoded Faster-Than-Nyquist Signaling for NOMA Downlink

This paper proposes a novel precoded Faster-Than-Nyquist signaling scheme for NOMA downlink that combines time-domain non-orthogonality with power-domain multiplexing to achieve high spectral efficiency and multiuser connectivity, utilizing eigendecomposition for intersymbol interference cancellation and successive interference cancellation for multiuser interference management.

Prakash Chaki, Shinya Sugiura2026-07-21

⚡ electrical engineering

A Multi-Agent System for 5G Throughput Prediction in Multi-Operator Urban Environments

This paper proposes a Tiered Multi-Agent System (TMAS) that dynamically routes edge telemetry to context-aware domain micro-agents to overcome generalization limitations in predicting 5G throughput across diverse operators, mobility modes, and traffic profiles in urban environments, achieving high accuracy (R² up to 0.931) and low latency suitable for next-generation network orchestration.

Muhammad Kabeer, Rosdiadee Nordin, Nadiva Nuriftitah, Sian Lun Lau2026-07-21