Independent Component Analysis and Blind Signal Separation

Inhalt

Theory and Fundamentals.- A FastICA Algorithm for Non-negative Independent Component Analysis.- Blind Source Separation by Adaptive Estimation of Score Function Difference.- Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias.- Gaussianizing Transformations for ICA.- New Eigensystem-Based Method for Blind Source Separation.- Optimization Issues in Noisy Gaussian ICA.- Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA.- The Minimum Support Criterion for Blind Signal Extraction: A Limiting Case of the Strengthened Young's Inequality.- Accurate, Fast and Stable Denoising Source Separation Algorithms.- An Overview of BSS Techniques Based on Order Statistics: Formulation and Implementation Issues.- Analytical Solution of the Blind Source Separation Problem Using Derivatives.- Approximate Joint Diagonalization Using a Natural Gradient Approach.- BSS, Classification and Pixel Demixing.- Blind Identification of Complex Under-Determined Mixtures.- Blind Separation of Heavy-Tailed Signals Using Normalized Statistics.- Blind Source Separation of Linear Mixtures with Singular Matrices.- Closely Arranged Directional Microphone for Source Separation.- Estimating Functions for Blind Separation when Sources Have Variance-Dependencies.- Framework of Constrained Matrix Gradient Flows.- Identifiability, Subspace Selection and Noisy ICA.- Improving GRNNs in CAD Systems.- Fisher Information in Source Separation Problems.- Localization of P300 Sources in Schizophrenia Patients Using Constrained BSS.- On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions.- On the Minimum ?1-Norm Signal Recovery in Underdetermined Source Separation.- On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries.- Reliability of ICA Estimates with Mutual Information.- Robust ICA for Super-Gaussian Sources.- Robustness of Prewhitening Against Heavy-Tailed Sources.- Simultaneous Extraction of Signal Using Algorithms Based on the Nonstationarity.- Space-Time Variant Blind Source Separation with Additive Noise.- The Use of ICA in Speckle Noise.- Theoretical Method for Solving BSS-ICA Using SVM.- Wavelet De-noising for Blind Source Separation in Noisy Mixtures.- Linear Mixture Models.- A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction.- Blind Separation of Nonstationary Sources by Spectral Decorrelation.- Delayed AMUSE - A Tool for Blind Source Separation and Denoising.- Dimensionality Reduction in ICA and Rank-(R 1,R 2,...,R N ) Reduction in Multilinear Algebra.- Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm.- Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures.- Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization.- Underdetermined Source Separation with Structured Source Priors.- A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA.- An Approach of Moment-Based Algorithm for Noisy ICA Models.- Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals.- A Novel Method to Recover N Sources from N-1 Observations and Its Application to Digital Communications.- A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency Representations.- Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous Mixtures.- Application of Gaussian Mixture Models for Blind Separation of Independent Sources.- Asymptotically Optimal Blind Separation of Parametric Gaussian Sources.- Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources.- Blind Source Separation Using the Block-Coordinate Relative Newton Method.- Hybridizing Genetic Algorithms with ICA in Higher Dimension.- ICA Using Kernel Entropy Estimation with NlogN Complexity.- Soft-LOST: EM on a Mixture of Oriented Lines.- Some Gradient Based Joint Diagonalization Methods for ICA.- Underdetermined Independent Component Analysis by Data Generation.- Convolutive Models.- Batch Mutually Referenced Separation Algorithm for MIMO Convolutive Mixtures.- Frequency Domain Blind Source Separation for Many Speech Signals.- ICA Model Applied to Multichannel Non-destructive Evaluation by Impact-Echo.- Monaural Source Separation Using Spectral Cues.- Multichannel Speech Separation Using Adaptive Parameterization of Source PDFs.- Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs.- Optimal Sparse Representations for Blind Deconvolution of Images.- Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based Approach.- A Continuous Time Balanced Parametrization Approach to Multichannel Blind Deconvolution.- A Frequency-Domain Normalized Multichannel Blind Deconvolution Algorithm for Acoustical Signals.- A Novel Hybrid Approach to the Permutation Problem of Frequency Domain Blind Source Separation.- Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures.- Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening.- Blind Deconvolution Using the Relative Newton Method.- Blind Equalization Using Direct Channel Estimation.- Blind MIMO Identification Using the Second Characteristic Function.- Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach.- Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach.- CICAAR: Convolutive ICA with an Auto-regressive Inverse Model.- Detection by SNR Maximization: Application to the Blind Source Separation Problem.- Estimating the Number of Sources for Frequency-Domain Blind Source Separation.- Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC.- Evaluation of Multistage SIMO-Model-Based Blind Source Separation Combining Frequency-Domain ICA and Time-Domain ICA.- On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation Algorithms.- On the FIR Inversion of an Acoustical Convolutive Mixing System: Properties and Limitations.- Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering.- Penalty Function Approach for Constrained Convolutive Blind Source Separation.- Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods.- QML Blind Deconvolution: Asymptotic Analysis.- Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear Systems.- Nonlinear ICA and BSS.- Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture.- Markovian Source Separation in Post-nonlinear Mixtures.- Non-linear ICA by Using Isometric Dimensionality Reduction.- Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources.- Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances.- Separating a Real-Life Nonlinear Mixture of Images.- Independent Slow Feature Analysis and Nonlinear Blind Source Separation.- Nonlinear PCA/ICA for the Structure from Motion Problem.- Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS.- Post-nonlinear Independent Component Analysis by Variational Bayesian Learning.- Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA.- Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis.- Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method.- Speech Processing Applications.- A Geometric Approach for Separating Several Speech Signals.- A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures.- Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration.- DOA Detection from H…