MAP-based underdetermined blind source separation of convolutive mixtures by hierarchical clustering and \(\ell _{1}\)-norm minimization

DOI10.1155/2007/24717zbMath1168.94449OpenAlexW2055401280MaRDI QIDQ838945

Stefan Winter, Walter Kellermann, Shoji Makino, Hiroshi Sawada

Publication date: 1 September 2009

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2007/24717

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

L1-norm minimization for multi-dimensional signals based on geometric algebra ⋮ The LOST algorithm: Finding lines and separating speech mixtures

Cites Work

• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
• Performance Analysis of Minimum<tex>$ell_1$</tex>-Norm Solutions for Underdetermined Source Separation
• Blind Separation of Speech Mixtures via Time-Frequency Masking

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