New criteria for blind source separation using second-order cyclic statistics

DOI10.1007/BF01229991zbMath0953.93068OpenAlexW2092748845MaRDI QIDQ1971603

Ying-Chang Liang, A. Rahin Leyman, Francois Chin

Publication date: 22 January 2001

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01229991

zbMATH Keywords

convergence analysisblind source separationadaptive algorithmsource detectionsecond-order cyclic statistics

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Stochastic learning and adaptive control (93E35)

Cites Work

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• Blind separation of sources. II: Problems statement
• Blind separation of sources. III: Stability analysis
• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Indeterminacy and identifiability of blind identification
• Waveform-preserving blind estimation of multiple independent sources
• A novel approach to the convergence of neural networks for signal processing

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