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, page 8
SNOAR: Self-training with Noise filtering, Observation adding, and Remixing for Speech Denoising Without Clean References
Unsupervised speech denoising methods such as MixIT and noisy-target training can be trained directly on noisy recordings, avoiding the sim-to-real gap of synthetic training data, but remain well…A Mixture-of-Experts Framework for Multi-Stream Quickest Change Detection
A Mixture-of-Experts (MoE) framework is proposed for quickest change detection (QCD) where there are multiple experts, and each expert produces a sequence of statistics for change detection.Cross-subject decoding of imagined speech from scalp EEG: a leakage-controlled evaluation on three public corpora
A decoder of imagined speech that works for a new user without calibration would make a non-invasive speech interface practical.FedLoRD: Personalized Federated Learning based on Low-Rank Structures of Model Parameter Differences
We propose FedLoRD, a personalized federated learning (PFL) method based on the low-rank structure of the differences between the global and personalized model parameters.ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform Evolution
Electrocardiogram (ECG) models need supervision that targets evolving weaknesses and remains faithful to waveform evidence.Revisiting Error Feedback for Model Quantization
We study causal error-feedback coefficients as design variables for model quantization.Link Both Views: Cross-Image Routing Attention for Dual-Endpoint V2I Beam-Pair Power Prediction
For sensing-aided communications, single-endpoint sensing offers only a partial view of propagation, motivating link-centric sensing across both endpoints.FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall Detection
Wearable fall detection is hampered by rare fall events, scarce labeled IMU data, and the cost of training deep models on large, imbalanced corpora.PING: physics informed graph neural network for advection-diffusion processes with applications to solar power forecasting
Advection-diffusion plays an essential role in transport phenomena such as atmospheric and cloud dynamics.Overcoming Catastrophic Forgetting: Continual Learning for Radar Waveform Classification
Automated radar waveform recognition classifies the waveform and modulation type of a received signal.Task-evoked eye movements as candidate digital biomarkers of depression severity in adolescents and young adults
Objective digital measures of depression severity could complement conventional symptom assessments and facilitate more timely clinical evaluation.When Does Compensating Inherited Quantization Error Help? Mean-Square Guarantees for Layer-Wise Quantization and Their Limits
Layer-wise post-training quantization methods let each layer compensate for the quantization error inherited from earlier layers.RFWeave: Learning Wireless Propagation Across Scenes and Transceiver Configurations
Wireless propagation modeling is foundational to the evaluation and design of modern communication systems.Universal Distributed Feature Extraction Complementary to Side Information via H-Score
This paper considers a distributed estimation system where edge nodes transmit averaged features to a center node for parameter estimation.Making Tensor Decoupling More Robust and Less Parametric
Tensor decoupling algorithms recover compact representations of multivariate functions by combining linear factor matrices with univariate internal nonlinearities.Neuromorphic Decoding and Dynamical Image Reconstruction from Populations of Spiking Retinal Ganglion Cells
Decoding visual stimuli from the spiking activity of retinal ganglion cells (RGCs) informs both our understanding of the retinal code and the design of visual prostheses.Colored Graph Signal Diffusion Models
Standard diffusion processes with isotropic noise corruption are not spectrally neutral.Deeply unrolled alternating projections for phase retrieval
Deep unrolling methods for inverse problems augment traditional reconstruction algorithms with learned priors to improve their performance.Harnessing SPAD Noise: Test-Time Gated Attention for Indoor Depth Estimation
Monocular depth estimation (MDE) has emerged as a cost-effective alternative to hardware-dependent 3D sensing modalities, yet predicting precise metric depth remains a persistent challenge due to…RF Fingerprinting of DSP Implementations using Machine Learning: An Over-the-Air Case Study
Radio frequency fingerprinting aims to identify transmitters by exploiting small differences in the emitted signal waveform.