Blind Source Separation Based on Mixed Integer Programming

DOI10.1007/978-981-10-2335-4_55zbMath1421.90092OpenAlexW2519288140MaRDI QIDQ5377310

Lizhen Shao, Xiaocan Fan

Publication date: 24 May 2019

Published in: Proceedings of 2016 Chinese Intelligent Systems Conference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-10-2335-4_55

zbMATH Keywords

mixed integer programmingbi-objective optimizationsparse component analysisunderdetermined blind source separation

Mathematics Subject Classification ID

Mixed integer programming (90C11) Multi-objective and goal programming (90C29) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• A hierarchical approach for sparse source blind signal separation problem
• K-hyperline clustering learning for sparse component analysis
• Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources
• Exact Sparse Approximation Problems via Mixed-Integer Programming: Formulations and Computational Performance
• Multicriteria Optimization

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