Beschreibung
This book constitutes the refereed proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation, ICA 2009, held in Paraty, Brazil, in March 2009. The 97 revised papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on theory, algorithms and architectures, biomedical applications, image processing, speech and audio processing, other applications, as well as a special session on evaluation.
Autorenporträt
InhaltsangabeTheory.- Stationary Subspace Analysis.- Reference Based Contrast Functions in a Semi-blind Context.- On the Relationships between MMSE and Information-Theoretic-Based Blind Criterion for Minimum BER Filtering.- Blind Separation of Cyclostationary Signals.- A Novel Subspace Clustering Method for Dictionary Design.- Comparison of Two Main Approaches to Joint SVD.- Optimal Performance of Second-Order Multidimensional ICA.- Using Signal Invariants to Perform Nonlinear Blind Source Separation.- Bayesian Robust PCA for Incomplete Data.- Independent Component Analysis (ICA) Using Pearsonian Density Function.- An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources.- Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures.- Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation.- Minimum Determinant Constraint for Non-negative Matrix Factorization.- Separation of Convolutive Mixtures with Hybrid Sources.- Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism.- Estimating Squared-Loss Mutual Information for Independent Component Analysis.- Complete Blind Subspace Deconvolution.- Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles.- Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction.- Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA.- Signal Subspace Separation Based on the Divergence Measure of a Set of Wavelets Coefficients.- ICA by Maximizing Non-stability.- On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation.- ICA with Sparse Connections: Revisited.- Algorithms and Architectures.- Source Separation of Phase-Locked Subspaces.- Online Subband Blind Source Separation for Convolutive Mixtures Using a Uniform Filter Bank with Critical Sampling.- Cebysev Coefficients - Based Algorithm for Estimating the ICA Model.- Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures.- Blind Source Separation of Post-Nonlinear Mixtures Using Evolutionary Computation and Gaussianization.- Adapted Deflation Approach for Referenced Contrast Optimization in Blind MIMO Convolutive Source Separation.- Blind Order Detection and Parameter Estimation of MISO-FIR Channels.- Hierarchical Extraction of Independent Subspaces of Unknown Dimensions.- On IIR Filters and Convergence Acceleration for Convolutive Blind Source Separation.- A Cascade System for Solving Permutation and Gain Problems in Frequency-Domain BSS.- A Method for Filter Shaping in Convolutive Blind Source Separation.- Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization.- Least Square Joint Diagonalization of Matrices under an Intrinsic Scale Constraint.- Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures.- Blind Non-stationnary Sources Separation by Sparsity in a Linear Instantaneous Mixture.- Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation.- Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints.- A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation.- Canonical Dual Approach to Binary Factor Analysis.- Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold.- Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix.- Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System.- Arabica: Robust ICA in a Pipeline.- Biomedical Applications.- Estimating Hidden Influences in Metabolic and Gene Regulatory Networks.- Nonnegative Network Component Analysis by Linear Programming for Gene Regulatory Network Reconstruction.- I
