Independent Component Analysis and Blind Signal Separation : 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings

Algorithms and Architectures.- Simple LU and QR Based Non-orthogonal Matrix Joint Diagonalization.- Separation of Nonlinear Image Mixtures by Denoising Source Separation.- Second-Order Separation of Multidimensional Sources with Constrained Mixing System.- Fast Kernel Density Independent Component Analysis.- Csiszár’s Divergences for Non-negative Matrix Factorization: Family of New Algorithms.- Second-Order Blind Identification of Underdetermined Mixtures.- Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures.- Equivariant Algorithms for Estimating the Strong-Uncorrelating Transform in Complex Independent Component Analysis.- Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics.- Model Structure Selection in Convolutive Mixtures.- Estimating the Information Potential with the Fast Gauss Transform.- K-EVD Clustering and Its Applications to Sparse Component Analysis.- An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model.- Markovian Blind Image Separation.- New Permutation Algorithms for Causal Discovery Using ICA.- Eigenvector Algorithms with Reference Signals for Frequency Domain BSS.- Sparse Coding for Convolutive Blind Audio Source Separation.- ICA-Based Binary Feature Construction.- A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces.- Estimating Non-Gaussian Subspaces by Characteristic Functions.- Independent Vector Analysis: An Extension of ICA to Multivariate Components.- A One-Bit-Matching Learning Algorithm for Independent Component Analysis.- Blind Separation of Underwater Acoustic Signals.- Partitioned Factor Analysis for Interference Suppression and Source Extraction.- Recursive Generalized Eigendecomposition for Independent Component Analysis.- Recovery of Sparse Representations by Polytope Faces Pursuit.- ICA Based Semi-supervised Learning Algorithm for BCI Systems.- State Inference in Variational Bayesian Nonlinear State-Space Models.- Quadratic MIMO Contrast Functions for Blind Source Separation in a Convolutive Context.- A Canonical Genetic Algorithm for Blind Inversion of Linear Channels.- Efficient Separation of Convolutive Image Mixtures.- Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets.- Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation.- Minimum Support ICA Using Order Statistics. Part II: Performance Analysis.- Separation of Periodically Time-Varying Mixtures Using Second-Order Statistics.- An Independent Component Ordering and Selection Procedure Based on the MSE Criterion.- Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis.- A Two-Stage Based Approach for Extracting Periodic Signals.- ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments.- Applications.- Separability of Convolutive Mixtures: Application to the Separation of Combustion Noise and Piston-Slap in Diesel Engine.- Blind Signal Separation on Real Data: Tracking and Implementation.- Compression of Multicomponent Satellite Images Using Independent Components Analysis.- Fixed-Point Complex ICA Algorithms for the Blind Separation of Sources Using Their Real or Imaginary Components.- Blind Estimation of Row Relative Degree Via Constrained Mutual Information Minimization.- Undoing the Affine Transformation Using Blind Source Separation.- Source Separation of Astrophysical Ice Mixtures.- Improvement on Multivariate Statistical Process Monitoring Using Multi-scale ICA.- Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis.- BLUES from Music: BLind Underdetermined Extraction of Sources from Music.- On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission Signals.- Two Applications of Independent Component Analysis for Non-destructive Evaluation by Ultrasounds.- Blind Spatial Multiplexing Using Order Statistics for Time-Varying Channels.- Semi-blind Equalization of Wireless MIMO Frequency Selective Communication Channels.- Medical Applications.- Comparison of BSS Methods for the Detection of ?-Activity Components in EEG.- Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR.- Cogito Componentiter Ergo Sum.- Kernel Independent Component Analysis for Gene Expression Data Clustering.- Topographic Independent Component Analysis of Gene Expression Time Series Data.- Blind Source Separation of Cardiac Murmurs from Heart Recordings.- Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation.- Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis.- Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial Fibrillation.- Brains and Phantoms: An ICA Study of fMRI.- Comparison of ICA Algorithms for the Isolation of Biological Artifacts in Magnetoencephalography.- Automatic De-noising of Doppler Ultrasound Signals Using Matching Pursuit Method.- Speech and Signal Processing.- A Novel Normalization and Regularization Scheme for Broadband Convolutive Blind Source Separation.- A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Instantaneous Mixture.- Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources.- Independent Component Analysis for Speech Enhancement with Missing TF Content.- Harmonic Source Separation Using Prestored Spectra.- Underdetermined Convoluted Source Reconstruction Using LP and SOCP, and a Neural Approximator of the Optimizer.- Utilization of Blind Source Separation Algorithms for MIMO Linear Precoding.- Speech Enhancement Based on the Response Features of Facilitated EI Neurons.- Blind Separation of Sparse Sources Using Jeffrey’s Inverse Prior and the EM Algorithm.- Solution of Permutation Problem in Frequency Domain ICA, Using Multivariate Probability Density Functions.- ICA-Based Speech Features in the Frequency Domain.- Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance.- Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS.- Under-Determined Source Separation: Comparison of Two Approaches Based on Sparse Decompositions.- Separation of Mixed Audio Signals by Source Localization and Binary Masking with Hilbert Spectrum.- ICA and Binary-Mask-Based Blind Source Separation with Small Directional Microphones.- Blind Deconvolution with Sparse Priors on the Deconvolution Filters.- Estimating the Spatial Position of Spectral Components in Audio.- Separating Underdetermined Convolutive Speech Mixtures.- Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures.- On Calculating the Inverse of Separation Matrix in Frequency-Domain Blind Source Separation.- Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation.- Speech Enhancement in Short-Wave Channel Based on ICA in Empirical Mode Decomposition Domain.- Robust Preprocessing of Gene Expression Microarrays for Independent Component Analysis.- Single-Channel Mixture Decomposition Using Bayesian Harmonic Models.- Enhancement of Source Independence for Blind Source Separation.- Speech Enhancement Using ICA with EMD-Based Reference.- Theory.- Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS).- On the Identifiability Testing in Blind Source Separation Using Resampling Technique.- On a Sparse Component Analysis Approach to Blind Source Separation.- Post-nonlinear Underdetermined ICA by Bayesian Statistics.- Relationships Between the FastICA Algorithm and the Rayleigh Quotient Iteration.- Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation.- Multivariate Scale Mixture of Gaussians Modeling.- Sparse Deflations in Blind Signal Separation.- Global Analysis of Log Likelihood Criterion.- A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking.- Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation.- Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition.- Kernel Principal Components Are Maximum Entropy Projections.- Super-Gaussian Mixture Source Model for ICA.- Instantaneous MISO Separation of BPSK Sources.- Blind Partial Separation of Instantaneous Mixtures of Sources.- Contrast Functions for Blind Source Separation Based on Time-Frequency Information-Theory.- Information–Theoretic Nonstationary Source Separation.- Local Convergence Analysis of FastICA.- Testing Significance of Mixing and Demixing Coefficients in ICA.- Cross-Entropy Optimization for Independent Process Analysis.- Uniqueness of Non-Gaussian Subspace Analysis.- A Maximum Likelihood Approach to Nonlinear Convolutive Blind Source Separation.- Visual and Sensory Processing.- On Separation of Semitransparent Dynamic Images from Static Background.- Facial Expression Recognition by ICA with Selective Prior.- An Easily Computable Eight Times Overcomplete ICA Method for Image Data.- The InfoMin Principle for ICA and Topographic Mappings.- Non-negative Matrix Factorization Approach to Blind Image Deconvolution.