Engineering & Signals · Interdisciplinary & Society
Signal Processing
The newest papers in Signal Processing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
429 papers, from 31 August 2026 to 5 November 2026: 360 arXiv preprints and 69 OpenAlex records.
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Newest papers
Re-Planning Budgets under Admission Control in Grant-Free LEO Beam-Hopping Access
Reordering low-Earth-orbit (LEO) beam-hopping visits can reduce grant-free update delivery even when each region receives the same service time.Joint Flexible Beamforming, Resource Allocation, and Task Buffering for Movable-Antenna Enabled MEC Systems
The proliferation of computation-intensive applications, such as generative artificial intelligence and low-altitude economy services, demands mobile edge computing (MEC) systems that are both…Flexible Piezoelectric Tactile Sensing System for Intelligent Object Recognition
Tactile sensing provides information about object properties that can improve robotic grasping and manipulation.Phase-Matched Design of Pinching-Antenna Elements on a 60-GHz Dielectric Rod Waveguide
The radiation of pinching antennas, dielectric elements placed on a dielectric waveguide, depends on the element shape.AI-Native Task-Oriented Semantic Communications over a Relay: Benefits and Vulnerabilities
Semantic communication (SemCom) using a relay node is considered, where the relay assists in conveying task-relevant information from a source to a destination, with meaning defined by…4D Point Splatting for mmWave Radar Micro-Doppler Differentiable Rendering
Millimeter-wave radar resolves the micrometer displacements of a moving body as micro-Doppler, enabling gait, gesture, activity, pose and vital-sign sensing.Hotplug Coded Caching: Embedding the YMA and Interference Elimination Schemes via Reed--Muller Codes
In the hotplug coded caching model, $K$ users fill their caches of size $M$ as a function of $N$ files, but only an unknown subset of $A<K$ users is active in the delivery phase.PRISM-AMC: Replay-Free Continual Learning for Automatic Modulation Classification
Automatic modulation classification (AMC) is a key component of cognitive wireless systems, enabling spectrum awareness and adaptive communication.Consistency Learning and Distillation for One-Step MIMO-OFDM Channel Estimation
Iterative neural channel estimators can improve recovery under pilot contamination, but repeated network evaluations increase inference cost.PARGAR: Pilot-Aware Graph Attention for Sparse-Pilot Neural OFDM Receivers
Reliable channel estimation and symbol detection in 5G New Radio (NR), as well as emerging 6G radio systems, rely on demodulation reference signals (DMRS).OSD-JSCC: Neural Joint Source-Channel Coding with One-Step Diffusion
Neural joint source-channel coding (JSCC) enables efficient image transmission over noisy channels, yet distortion-optimized approaches often produce blurry reconstructions.Distributed Consensus, Optimization, and Learning under Communication Constraints
Many modern engineering applications require distributed problem-solving in which multiple nodes in a network cooperate to achieve a common optimization objective.Adapting Sleep Foundation Models for Dense Sleep Spindle Localization
Adapting sleep foundation models to dense electroencephalography (EEG) event localization is challenging because multi-second representations may not preserve sufficient temporal detail for precise…Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEs
This paper develops a stochastic dynamical-systems perspective on three classes of generative AI models.Mutual-Coupling-Aware Joint Precoding and Antenna Positioning for Movable-Antenna MU-MIMO Systems
Movable antennas (MAs) improve wireless communications by adapting antenna positions to the propagation environment.Directional Statistics in Signal Processing: A Geometry Driven Overview of Models, Learning, and Applications
Many signal-processing objects are defined by periodicity, normalization, sign or global-phase ambiguity, basis invariance, or positive-semidefinite constraints and therefore cannot be modeled…On the Learnability of Footwear Robustness: Footstep Recognition Under Unseen Conditions
Footstep patterns, captured using pressure or force-sensitive walkways during natural walking, offer a convenient and passive approach to biometric recognition.Characterizing the vertical continuity of fuel strata based on TLS point clouds Gaussian decomposition and overlap metrics
Vertical forest structure influences fire behavior by regulating understory-to-canopy fuel connectivity, yet operational fuel-type models represent this complexity through discrete classes that only…Do Ray-Traced Cities Make a Better Channel Prior for an Unseen Site? A Pre-Registered Study in Simulation, and a Test on Measured Channels that Reverses It
Channel estimators at a newly deployed base station usually start from 3GPP stochastic channel models, which describe no particular street.The Confidence Score: a New Measure on Kernels
Across a wide range of applications, kernel measures are used to tune hyperparameters, select among candidate kernels, and assess the suitability of kernels for specific learning tasks.