Telecomunicaciones, información y comunicación

Wasserstein mixing time of the unadjusted Langevin algorithm

- We provide new estimates in Wasserstein distance for the asymptotic bias of the unadjusted Langevin algorithm, in the classical setting of log-smooth strongly log-concave measures. Our bound implies...

An Accessible Solution for Deformable Image Registration Compared with Learning-Based Approaches

- Deformable image registration (DIR) is a core problem in medical image analysis; but, unlike labeling decision problems such as classification and segmentation, registration is a problem class that...

A Spectral Filtering Approach to Regret Analysis of Distributed Online Control for Linear Dynamical Systems

- This paper studies the distributed online control problem over a network of linear time-invariant (LTI) systems in the presence of adversarial disturbances and time-varying convex costs. The network...

Cardiovascular Digital Twins from Physics Based to Data Driven Approaches

- Cardiovascular digital twins aim to create patient-specific computational models that evolve with clinical data to support diagnosis, prognosis, and therapy optimisation. Mechanistic models provide...

A Comparative Analysis of MLP and Kolmogorov-Arnold Networks (KAN) for Faster-than-Nyquist (FTN) Signaling Detection

- Faster-than-Nyquist signaling improves spectral ef- ficiency by deliberately introducing inter-symbol interference. Classical sequence detectors such as BCJR can approach optimal performance, but...

Protocol generalisation for brain tissue microstructure estimation via hypernetwork-controlled geometric deep learning

- Brain tissue microstructure estimation with machine learning provides higher computational efficiency than conventional fitting. However, machine learning still presents important limitations that...

Adaptive Reconstruction of Bosonic Quantum States

- Bosonic quantum systems provide a hardware-efficient platform for quantum information processing but remain challenging to characterise due to their large Hilbert space and the high measurement cost...

Detecting Nonproperness of Likelihood Equations

- Given an algebraic statistical model, a challenging problem is classifying the data according to the number of positive critical points of the likelihood function. The positive critical points are...

SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks

- Speech and audio generation is often needed in animation dubbing, audio drama, movies, advertising, games, podcasts, and short-video production. In these scenarios, creators may need to design voices...

Markov and lattice bases for Forman-Ricci curvature of graphs

- Discrete Forman-Ricci curvature is a quantity associated to each edge of a graph that describes its local geometry. It has proven to be a useful tool in network analysis in a variety of applications....

Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory

- The ability to robustly maintain and update continuous variables is a hallmark of working memory. While classical continuous attractor networks suffer from severe fine-tuning fragility, standard...

Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability

- Predicting drought risk is essential for anticipating impacts on water resources, agriculture, ecosystems, and climate adaptation planning. Yet drought forecasts remain uncertain because variability...

Local network growth: How simple rules drive network complexity

- The Internet, a living cell, a circle of friends, a billion-dollar construction project: these systems share almost nothing -- yet, drawn as networks, they look astonishingly alike. Each has a few...

UART for Wearables (U4We): DC Power and Carrierless Signal Transfer over Conductive Textiles

- This brief presents a conductive-textile interconnection scheme for batteryless distributed wearable modules. Two conductive textile layers separated by an insulating fabric layer are used as a...

Tunneling the Loss Landscape: Bypassing Memorization with Monte Carlo Parameter Swapping

- Grokking is a striking phenomenon in neural network training, where a model can undergo a prolonged period of pure memorization before abrupt generalization. While previous works have attempted to...

Radar Detection in the CBRS Band: Techniques, Challenges, and Future Directions

- The 3.5 GHz Citizens Broadband Radio Service (CBRS) is a shared wireless band that allows both government systems and commercial networks (such as private LTE/5G) to use the same spectrum. To prevent...

Deterministic DTFT Interpolation for Joint Frequency and Chirp-Rate Estimation: Cell-Uniform Efficiency and Threshold Analysis

- Joint estimation of the frequency and chirp rate of a noisy chirp signal arises in radar, sonar, and burst satellite communications. Conventional estimators combine a coarse grid search with fine...

SAGE: Switch-Aware EEG-Guided Soft Gating for Target Speaker Extraction with In-Trial Switching

- EEG-guided target speaker extraction is challenging under in-trial auditory attention switching, where neural noise and intrinsic latency can delay or destabilize attention tracking. Conventional...

SGAD: A State-Guided Adaptive Decision Framework for Robust EEG-Based Auditory Attention Switch Decoding

- Achieving robust EEG-based auditory attention switch decoding (AASD) is crucial for intelligent hearing aids. However, its application is limited as EEG non-stationarity complicates sequential...

The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning

- Machine-learning benchmarks often pair a label that aggregates a long temporal horizon with input observed through one or a few short windows. Their apparent performance ceiling may therefore be an...

Statistical comparisons of time-series feature sets on classification tasks

- In recent years, numerous open-source software libraries have been developed for computing sets of features from univariate time series. The type and number of features vary across these feature...