Graph-Based EEG Signal Compression for Human–Machine Interaction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2023.3347592
Abstract: Communication of bioelectric signals, such as electroencephalography (EEG) signals, will be a key technology for smooth interaction between users and remote robots. The existing solutions use an orthogonal transform for EEG signal compression, such as… read more here.
Keywords: eeg signals; signal compression; eeg signal; graph based ... See more keywords
Perceiver IO Model for Efficient Vibration Signal Compression and Anomaly Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3604141
Abstract: This research presents a deep learning model for vibration signal compression and anomaly detection, using Perceiver IO—an attention-based architecture—within a railway industry case study. The model is lightweight and optimized for deployment on energy- and… read more here.
Keywords: vibration signal; signal compression; anomaly detection; model ... See more keywords
Design of Intelligent Control Under Machine Learning Supervision and Signal Compression Mechanism Design for NCSs Under DoS Attacks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3390701
Abstract: This short paper addresses the challenge of network congestion in T-S fuzzy networked control systems (NCSs) caused by denial of service (DoS) attacks and quality of service (QoS) queuing mechanisms. Firstly, a novel signal compression… read more here.
Keywords: signal compression; control; dos attacks; machine learning ... See more keywords
Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Sign Up to like & getrecommendations! Published in 2017 at "Algorithms"
DOI: 10.3390/a10020065
Abstract: We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online. Clustering is introduced for dictionary… read more here.
Keywords: signal compression; nonparametric bayesian; dictionary learning; seismic signal ... See more keywords
Empirical Modeling of 2-Degree-of-Freedom Azimuth Underwater Thruster Using a Signal Compression Method
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11083517
Abstract: This paper presents an empirical modeling of a 2-Degree-of-Freedom (DoF) azimuth thruster using the signal compression method. The thruster has a gimbal mechanism with two servo motors and generates thrust in arbitrary directions. This mechanism… read more here.
Keywords: thruster; azimuth; model; signal compression ... See more keywords