Maximization of nonlinear autocorrelation for blind source separation of non-stationary complex signals

DOI10.1007/S00034-015-9998-3zbMath1358.94037OpenAlexW1992131298MaRDI QIDQ736978

Wei Zhao, Wei Jian, Cheng Peng, Peng-cheng Xu, Yue-Hong Shen

Publication date: 5 August 2016

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

Full work available at URL: https://doi.org/10.1007/s00034-015-9998-3

zbMATH Keywords

blind source separationstability conditionsGaussian distributioncomplex-valued signalsnonlinear autocorrelation

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• ICALAB

Cites Work

• Unnamed Item
• Hybrid linear and nonlinear complexity pursuit for blind source separation
• A unifying model for blind separation of independent sources
• On-line blind equalization via on-line blind separation
• Adaptive blind separation of independent sources: A deflation approach
• Fast nonlinear autocorrelation algorithm for source separation
• A fixed-point algorithm for blind source separation with nonlinear autocorrelation
• Complexity Pursuit: Separating Interesting Components from Time Series
• Blind Source Separation Using Temporal Predictability
• Extraction of Specific Signals with Temporal Structure
• Indeterminacy and identifiability of blind identification
• On Extending the Complex FastICA Algorithm to Noncircular Sources
• Blind separation of instantaneous mixtures of nonstationary sources

This page was built for publication: Maximization of nonlinear autocorrelation for blind source separation of non-stationary complex signals