Blind source separation by nonstationarity of variance: A cumulant-based approach

IEEE Transactions on Neural Networks

Volumn 12, Issue 6, 2001, Pages 1471-1474

  Hyvärinen, Aapo ^a,b  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Blind source separation; Cumulants; Independent component analysis; Nonstationarity; Statistical signal processing

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CORRELATION THEORY; ESTIMATION; INDEPENDENT COMPONENT ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTIMIZATION;

CUMULANT BASED CRITERION; LINEAR AUTOCORRELATION; STATISTICAL SIGNAL PROCESSING;

BLIND SOURCE SEPARATION;

EID: 0035506142     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.963782     Document Type: Article

References (14)

1. Removal of quasiperiodic sources from physiological measurements
2. A blind source separation technique based on second-order statistics
3. Independent component analysis - A new concept?
4. Adaptive blind separation of independent sources: A deflation approach
5. Fast and robust fixed-point algorithms for independent component analysis
6. A fast fixed-point algorithm for independent component analysis
7. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
8. A neural net for blind separation of nonstationary signals
9. Separation of a mixture of independent signals using time delayed correlations
10. Signal processing with higher-order spectra
11. Blind separation of instantaneous mixtures of nonstationary sources
12. Super-exponential methods for blind deconvolution
13. Indeterminacy and identifiability of blind identification