Blind Separation for Wireless Communication Convolutive Mixtures Based on Denoising IVA
Author:
Affiliation:
1. School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin, China
2. State Grid Sichuan Electric Power Research Institute, Chengdu, China
3. State Grid Sichuan Electric Power Company, Chengdu, China
Funder
National Natural Science Foundation of China
Sichuan Science and Technology Program
2022 Graduate Innovation Fund of Sichuan University of Science and Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09933736.pdf?arnumber=9933736
Reference19 articles.
1. Concurrent Respiration Monitoring of Multiple Subjects by Phase-Comparison Monopulse Radar Using Independent Component Analysis (ICA) With JADE Algorithm and Direction of Arrival (DOA)
2. A blind source separation sorting algorithm for sonar echo signal based on frequency-point amplitude correlation
3. Independent Vector Analysis for Blind Deconvolving of Digital Modulated Communication Signals
4. A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation
5. A Robust Correlation Method for Solving Permutation Problem in Frequency Domain Blind Source Separation of Speech Signals
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