A Novel Underdetermined Blind Source Separation Algorithm of Frequency-Hopping Signals via Time-Frequency Analysis
Author:
Affiliation:
1. College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
2. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, China
Funder
Foundation of National Defense Key Laboratory
National Natural Science Foundation of China
Heilongjiang Touyan Innovation Team Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10299398/10149376.pdf?arnumber=10149376
Reference20 articles.
1. Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition
2. Underdetermined Blind Source Separation for linear instantaneous mixing system in the non-cooperative wireless communication
3. Tensor-Based Underdetermined Blind Identification of Instantaneous Mixtures
4. Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency-Hopping Signals Based on Tensor Decomposition Method
5. Clustering by fast search and find of density peaks
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