Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Adaptive blind separation of independent sources: a deflation approach
Signal Processing
A fast fixed-point algorithm for independent component analysis
Neural Computation
Independent component analysis by general nonlinear Hebbian-like learning rules
Signal Processing - Special issue on neural networks
A neural learning algorithm for blind separation of sources based on geometric properties
Signal Processing - Special issue on neural networks
Natural gradient works efficiently in learning
Neural Computation
Independent component analysis: theory and applications
Independent component analysis: theory and applications
High-order contrasts for independent component analysis
Neural Computation
Independent component analysis: algorithms and applications
Neural Networks
Probability Density Estimation Using Adaptive Activation Function Neurons
Neural Processing Letters
Complex-Weighted One-Unit ‘Rigid-Bodies’ Learning Rule for Independent Component Analysis
Neural Processing Letters
Entropy Optimization - Application to Blind Source Separation
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Applications of Neural Blind Separation to Signal and Image Processing
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
A Biologically Motivated Solution to the Cocktail Party Problem
Neural Computation
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold
Neural Computation
A Constrained EM Algorithm for Independent Component Analysis
Neural Computation
A second-order differential approach for underdetermined convolutive source separation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Equivariant adaptive source separation
IEEE Transactions on Signal Processing
Multidimensional density shaping by sigmoids
IEEE Transactions on Neural Networks
A class of neural networks for independent component analysis
IEEE Transactions on Neural Networks
A theory for learning based on rigid bodies dynamics
IEEE Transactions on Neural Networks
Neural networks for blind-source separation of Stromboli explosion quakes
IEEE Transactions on Neural Networks
Applications of ICA for the enhancement and classification of polarimetric SAR images
International Journal of Remote Sensing
Descent methods for optimization on homogeneous manifolds
Mathematics and Computers in Simulation
On vector averaging over the unit hypersphere
Digital Signal Processing
Speckle reduction of polarimetric SAR images based on neural ICA
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Journal of Cognitive Neuroscience
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We present an overview of independent component analysis, an emerging signal processing technique based on neural networks, with the aim to provide an up-to-date survey of the theoretical streams in this discipline and of the current applications in the engineering area. We also focus on a particular application, dealing with a remote sensing technique based on synthetic aperture radar imagery processing: we briefly review the features and main applications of synthetic aperture radar and show how blind signal processing by neural networks may be advantageously employed to enhance the quality of remote sensing data.