A General Nonstationary and Time-Varying Mixed Signal Blind Source Separation Method Based on Online Gaussian Process
Author:
Affiliation:
1. Research & Development Institute of Northwestern, Polytechnical University in Shenzhen, ShenZhen, Guang Dong 710000, P. R. China
2. School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, P. R. China
Abstract
Funder
Basic Research Projects of Shenzhen Knowledge Innovation Program
National Key R&D Program
Basic Research Projects of ShenzhFund of MIIT
Key Industry Innovation Chain-Industrial Field Projects
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://www.worldscientific.com/doi/pdf/10.1142/S021800142058015X
Reference23 articles.
1. A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter
2. Recursive Bayesian Linear Regression for Adaptive Classification
3. Nonstationary Source Separation Using Sequential and Variational Bayesian Learning
4. Adaptive Bayesian Latent Semantic Analysis
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1. Blind source separation of electromagnetic signals based on deep focusing U-Net;Journal of Intelligent & Fuzzy Systems;2023-11-04
2. A Novel Improved Threshold Adaptive Forgetting Variable Step Size Blind Separation Model for Weak Signal Detection;Shock and Vibration;2022-09-12
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