Blind Source Separation and Deep Feature Learning Network-Based Identification of Multiple Electromagnetic Radiation Sources
Author:
Affiliation:
1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10076464.pdf?arnumber=10076464
Reference42 articles.
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3. Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure
4. Mixture Gases Classification Based on Multi-Label One-Dimensional Deep Convolutional Neural Network
5. Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
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