12 stories tagged with #signal-processing, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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NIT-K to offer online M.Tech in Signal Processing and AI
NIT-K launches an online M.Tech in Signal Processing and AI for 2026-27, enhancing access to quality education.…
[D] Is IEEE Workshop on Machine Learning for Signal Processing Reputable? [D]
Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules
Automated sleep staging is commonly approached as a supervised machine learning problem, with deep learning methods dominating recent research. While machine learning models achiev…
PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels
Channel foundation models assume access to fully observed channels, an assumption that fails in deployment. We introduce PilotWiMAE, a self-supervised framework whose encoder inges…
From AFSK to Goertzel
AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI
Wi-Fi-based human activity recognition (HAR) has emerged as a promising approach for contactless sensing, leveraging channel state information (CSI) collected from wireless transce…
A Nonlinear Complexity Index for Wearable PPG Cardiovascular Stability: Multiscale Validation, Systematic Evaluation Correction, and Bayesian Parameter Optimization
Cardiovascular stability estimation from wearable photoplethysmography (PPG) requires a principled nonlinear framework, yet major gaps persist in heuristic parameter selection and …
A Practical Noise2Noise Denoising Pipeline for High-Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high-throughput Raman spectroscopy is presented. The approach relies on a one-dimensional convolutional autoencoder trained us…
Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation
Accurate delineation of electrocardiogram (ECG), the segmentation of meaningful waveform features, is crucial for cardiovascular diagnostics. However, the scarcity of annotated dat…
TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices
Under the trend of multi-waveform coexistence in 6G IoT, intelligent receivers must first identify physical-layer waveform types before performing correct demodulation and resource…
PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams
Modern pedestrian dead reckoning (PDR) systems rely on fusing noisy and biased estimates of position, velocity, and calibrated orientation derived from loosely coupled sensors to d…
Additive FFT Explained: Fast Fourier Transforms over Binary Fields
Warning: This post is more math heavy than other articles. Introduction In this article we continue our study of towers of binary fields, motivated by the proposal of Diamond …