A survey of artificial intelligence approaches in blind source separation

S Ansari, AS Alatrany, KA Alnajjar, T Khater… - Neurocomputing, 2023 - Elsevier
In various signal processing applications, such as audio signal recovery, the extraction of
desired signals from a mixture of other signals is a crucial task. To achieve superior …

[HTML][HTML] Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks

R Song, X Feng, J Wang, H Sun, M Zhou, H Esmaiel - Remote Sensing, 2024 - mdpi.com
Ship-radiated noise is the main basis for ship detection in underwater acoustic
environments. Due to the increasing human activity in the ocean, the captured ship noise is …

A Novel Online Sliding Blind Deconvolution Algorithm for Satellite Micro-Vibration Source Separation in Time-Varying Environment

X Luo, Z Zhang - IEEE Transactions on Instrumentation and …, 2024 - ieeexplore.ieee.org
Online identification of satellite microvibration sources can provide a basis for online
suppression of satellite microvibration, which has significant application value for improving …

盲源分离通信抗干扰技术与实践

姚富强, 于淼, 郭鹏程, 顾淼淼 - 通信学报, 2023 - infocomm-journal.com
针对宽频段压制干扰威胁以及频谱资源与通信抗干扰能力之间的固有矛盾,
提出在扩谱抗干扰基础上增加统计域维度的方法, 推动通信抗干扰由“硬抗” 向“容扰” 转变 …

Single-Channel Radar Signal Separation Based On Instance Segmentation With Mask Optimization

B Yang, T Chen, Y Lei - … Transactions on Circuits and Systems II …, 2024 - ieeexplore.ieee.org
This paper focuses on solving the overlapping problem of multicomponent signals. A single-
channel radar signal separation algorithm based on visual separation with mask …

Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources

S Hosseini, Y Deville - ICASSP 2022-2022 IEEE International …, 2022 - ieeexplore.ieee.org
In this paper, we are interested in the blind separation of linear-quadratic mixtures of
mutually independent sources when successive samples of each source are correlated …