Rosca J., Erdogmus D., Príncipe J.C., Haykin S. (eds.) Independent Component Analysis and Blind Signal Separation

Berlin: Springer, 2006. — 1000 p.This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2006, held in Charleston, SC, USA, in March 2006.
The 120 revised papers presented were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.Simple LU and QR Based Nonorthogonal Matrix Joint Diagonalization
Separation of Nonlinear Image Mixtures by Denoising Source Separation
SecondOrder Separation of Multidimensional Sources with Constrained Mixing System
Fast Kernel Density Independent Component Analysis
Csiszár’s Divergences for Nonnegative Matrix Factorization: Family of New Algorithms
SecondOrder Blind Identification of Underdetermined Mixtures
Differential Fast FixedPoint BSS for Underdetermined Linear Instantaneous Mixtures
Equivariant Algorithms for Estimating the StrongUncorrelating Transform in Complex Independent Component Analysis
Blind Source Separation of Postnonlinear Mixtures Using Evolutionary Computation and Order Statistics
Model Structure Selection in Convolutive Mixtures
Estimating the Information Potential with the Fast Gauss Transform
KEVD Clustering and Its Applications to Sparse Component Analysis
An EM Method for Spatiotemporal Blind Source Separation Using an ARMOG 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
ICABased Binary Feature Construction
A Novel Dimension Reduction Procedure for Searching NonGaussian Subspaces
Estimating NonGaussian Subspaces by Characteristic Functions
Independent Vector Analysis: An Extension of ICA to Multivariate Components
A OneBitMatching 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 Semisupervised Learning Algorithm for BCI Systems
State Inference in Variational Bayesian Nonlinear StateSpace 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: Quasirange Based Support Estimation
Minimum Support ICA Using Order Statistics Part II: Performance Analysis
Separation of Periodically TimeVarying Mixtures Using SecondOrder 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 TwoStage Based Approach for Extracting Periodic Signals
ICA by PCA Approach: Relating HigherOrder Statistics to SecondOrder Moments
Separability of Convolutive Mixtures: Application to the Separation of Combustion Noise and PistonSlap in Diesel Engine
Blind Signal Separation on Real Data: Tracking and Implementation
Compression of Multicomponent Satellite Images Using Independent Components Analysis
FixedPoint 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 Multiscale 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 HOSBased ICA Algorithm in BSS of Acoustic Emission Signals
Two Applications of Independent Component Analysis for Nondestructive Evaluation by Ultrasounds
Blind Spatial Multiplexing Using Order Statistics for TimeVarying Channels
Semiblind Equalization of Wireless MIMO Frequency Selective Communication Channels
Comparison of BSS Methods for the Detection of α 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 Denoising of Doppler Ultrasound Signals Using Matching Pursuit Method
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
ICABased Speech Features in the Frequency Domain
Monaural Music Source Separation: Nonnegativity, Sparseness, and ShiftInvariance
Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS
UnderDetermined 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 BinaryMaskBased 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 TimeFrequency RatioBased Blind Source Separation Methods for TimeDelayed Mixtures
On Calculating the Inverse of Separation Matrix in FrequencyDomain Blind Source Separation
Nonnegative Matrix Factor D Deconvolution for Blind Single Channel Source Separation
Speech Enhancement in ShortWave Channel Based on ICA in Empirical Mode Decomposition Domain
Robust Preprocessing of Gene Expression Microarrays for Independent Component Analysis
SingleChannel Mixture Decomposition Using Bayesian Harmonic Models
Enhancement of Source Independence for Blind Source Separation
Speech Enhancement Using ICA with EMDBased Reference
ZeroEntropy 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
Postnonlinear 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 OneBitMatching Condition
Kernel Principal Components Are Maximum Entropy Projections
SuperGaussian 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 TimeFrequency InformationTheory
Information–Theoretic Nonstationary Source Separation
Local Convergence Analysis of FastICA
Testing Significance of Mixing and Demixing Coefficients in ICA
CrossEntropy Optimization for Independent Process Analysis
Uniqueness of NonGaussian Subspace Analysis
A Maximum Likelihood Approach to Nonlinear Convolutive Blind Source Separation
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
Nonnegative Matrix Factorization Approach to Blind Image Deconvolution