Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Optimization by Vector Space Methods
Optimization by Vector Space Methods
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Extraction of Specific Signals with Temporal Structure
Neural Computation
Complexity Pursuit: Separating Interesting Components from Time Series
Neural Computation
Letters: A fast fixed-point algorithm for complexity pursuit
Neurocomputing
Letters: Gaussian moments for noisy complexity pursuit
Neurocomputing
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing
Equivariant adaptive source separation
IEEE Transactions on Signal Processing
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
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This paper proposes blind source extraction methods based on several time-delay autocorrelations of primary sources, called MACBSE. The MACBSE approaches are batch fixed-point learning algorithms for extraction of source signals with linear autocorrelations. The fixed-point algorithms are very simple and do not need to choose any learning step sizes. Furthermore, the convergence properties of the algorithms are analyzed. Their efficiencies are demonstrated by extensive computer simulations.