Table of Contents

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   Book Overview
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   Chapter 1 A FastICA Algorithm for Non-negative Independent Component Analysis
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   Chapter 2 Blind Source Separation by Adaptive Estimation of Score Function Difference
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   Chapter 3 Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias
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   Chapter 4 Gaussianizing Transformations for ICA
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   Chapter 5 New Eigensystem-Based Method for Blind Source Separation
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   Chapter 6 Optimization Issues in Noisy Gaussian ICA
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   Chapter 7 Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA
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   Chapter 8 The Minimum Support Criterion for Blind Signal Extraction: A Limiting Case of the Strengthened Young’s Inequality
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    Chapter 9 Accurate, Fast and Stable Denoising Source Separation Algorithms
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    Chapter 10 An Overview of BSS Techniques Based on Order Statistics: Formulation and Implementation Issues
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    Chapter 11 Analytical Solution of the Blind Source Separation Problem Using Derivatives
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    Chapter 12 Approximate Joint Diagonalization Using a Natural Gradient Approach
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    Chapter 13 BSS, Classification and Pixel Demixing
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    Chapter 14 Blind Identification of Complex Under-Determined Mixtures
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    Chapter 15 Blind Separation of Heavy-Tailed Signals Using Normalized Statistics
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    Chapter 16 Blind Source Separation of Linear Mixtures with Singular Matrices
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    Chapter 17 Closely Arranged Directional Microphone for Source Separation
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    Chapter 18 Estimating Functions for Blind Separation when Sources Have Variance-Dependencies
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    Chapter 19 Framework of Constrained Matrix Gradient Flows
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    Chapter 20 Identifiability, Subspace Selection and Noisy ICA
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    Chapter 21 Improving GRNNs in CAD Systems
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    Chapter 22 Fisher Information in Source Separation Problems
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    Chapter 23 Localization of P300 Sources in Schizophrenia Patients Using Constrained BSS
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    Chapter 24 On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions
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    Chapter 25 On the Minimum ℓ 1 -Norm Signal Recovery in Underdetermined Source Separation
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    Chapter 26 On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries
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    Chapter 27 Reliability of ICA Estimates with Mutual Information
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    Chapter 28 Robust ICA for Super-Gaussian Sources
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    Chapter 29 Robustness of Prewhitening Against Heavy-Tailed Sources
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    Chapter 30 Simultaneous Extraction of Signal Using Algorithms Based on the Nonstationarity
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    Chapter 31 Space-Time Variant Blind Source Separation with Additive Noise
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    Chapter 32 The Use of ICA in Speckle Noise
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    Chapter 33 Theoretical Method for Solving BSS-ICA Using SVM
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    Chapter 34 Wavelet De-noising for Blind Source Separation in Noisy Mixtures
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    Chapter 35 A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction
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    Chapter 36 Blind Separation of Nonstationary Sources by Spectral Decorrelation
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    Chapter 37 Delayed AMUSE – A Tool for Blind Source Separation and Denoising
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    Chapter 38 Dimensionality Reduction in ICA and Rank-( R 1 , R 2 ,..., R N ) Reduction in Multilinear Algebra
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    Chapter 39 Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm
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    Chapter 40 Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures
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    Chapter 41 Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization
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    Chapter 42 Underdetermined Source Separation with Structured Source Priors
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    Chapter 43 A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA
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    Chapter 44 An Approach of Moment-Based Algorithm for Noisy ICA Models
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    Chapter 45 Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals
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    Chapter 46 A Novel Method to Recover N Sources from N-1 Observations and Its Application to Digital Communications
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    Chapter 47 A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency Representations
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    Chapter 48 Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous Mixtures
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    Chapter 49 Application of Gaussian Mixture Models for Blind Separation of Independent Sources
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    Chapter 50 Asymptotically Optimal Blind Separation of Parametric Gaussian Sources
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    Chapter 51 Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources
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    Chapter 52 Blind Source Separation Using the Block-Coordinate Relative Newton Method
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    Chapter 53 Hybridizing Genetic Algorithms with ICA in Higher Dimension
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    Chapter 54 ICA Using Kernel Entropy Estimation with NlogN Complexity
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    Chapter 55 Soft-LOST: EM on a Mixture of Oriented Lines
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    Chapter 56 Some Gradient Based Joint Diagonalization Methods for ICA
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    Chapter 57 Underdetermined Independent Component Analysis by Data Generation
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    Chapter 58 Batch Mutually Referenced Separation Algorithm for MIMO Convolutive Mixtures
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    Chapter 59 Frequency Domain Blind Source Separation for Many Speech Signals
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    Chapter 60 ICA Model Applied to Multichannel Non-destructive Evaluation by Impact-Echo
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    Chapter 61 Monaural Source Separation Using Spectral Cues
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    Chapter 62 Multichannel Speech Separation Using Adaptive Parameterization of Source PDFs
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    Chapter 63 Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs
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    Chapter 64 Optimal Sparse Representations for Blind Deconvolution of Images
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    Chapter 65 Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based Approach
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    Chapter 66 A Continuous Time Balanced Parametrization Approach to Multichannel Blind Deconvolution
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    Chapter 67 A Frequency-Domain Normalized Multichannel Blind Deconvolution Algorithm for Acoustical Signals
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    Chapter 68 A Novel Hybrid Approach to the Permutation Problem of Frequency Domain Blind Source Separation
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    Chapter 69 Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures
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    Chapter 70 Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening
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    Chapter 71 Blind Deconvolution Using the Relative Newton Method
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    Chapter 72 Blind Equalization Using Direct Channel Estimation
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    Chapter 73 Blind MIMO Identification Using the Second Characteristic Function
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    Chapter 74 Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
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    Chapter 75 Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach
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    Chapter 76 CICAAR: Convolutive ICA with an Auto-regressive Inverse Model
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    Chapter 77 Detection by SNR Maximization: Application to the Blind Source Separation Problem
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    Chapter 78 Estimating the Number of Sources for Frequency-Domain Blind Source Separation
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    Chapter 79 Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC
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    Chapter 80 Evaluation of Multistage SIMO-Model-Based Blind Source Separation Combining Frequency-Domain ICA and Time-Domain ICA
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    Chapter 81 On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation Algorithms
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    Chapter 82 On the FIR Inversion of an Acoustical Convolutive Mixing System: Properties and Limitations
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    Chapter 83 Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering
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    Chapter 84 Penalty Function Approach for Constrained Convolutive Blind Source Separation
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    Chapter 85 Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods
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    Chapter 86 QML Blind Deconvolution: Asymptotic Analysis
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    Chapter 87 Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear Systems
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    Chapter 88 Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
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    Chapter 89 Markovian Source Separation in Post-nonlinear Mixtures
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    Chapter 90 Non-linear ICA by Using Isometric Dimensionality Reduction
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    Chapter 91 Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
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    Chapter 92 Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
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    Chapter 93 Separating a Real-Life Nonlinear Mixture of Images
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    Chapter 94 Independent Slow Feature Analysis and Nonlinear Blind Source Separation
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    Chapter 95 Nonlinear PCA/ICA for the Structure from Motion Problem
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    Chapter 96 Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS
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    Chapter 97 Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
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    Chapter 98 Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA
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     Chapter 99 Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis
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     Chapter 100 Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
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     Chapter 101 A Geometric Approach for Separating Several Speech Signals
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     Chapter 102 A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures
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     Chapter 103 Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration
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     Chapter 104 DOA Detection from HOS by FOD Beamforming and Joint-Process Estimation
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     Chapter 105 Nonlinear Postprocessing for Blind Speech Separation
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     Chapter 106 Real-Time Convolutive Blind Source Separation Based on a Broadband Approach
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     Chapter 107 A New Approach to the Permutation Problem in Frequency Domain Blind Source Separation
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     Chapter 108 Adaptive Cross-Channel Interference Cancellation on Blind Source Separation Outputs
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     Chapter 109 Application of the Mutual Information Minimization to Speaker Recognition / Verification Improvement
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     Chapter 110 Single Channel Speech Enhancement: MAP Estimation Using GGD Prior Under Blind Setup
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     Chapter 111 Stable and Low-Distortion Algorithm Based on Overdetermined Blind Separation for Convolutive Mixtures of Speech
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     Chapter 112 Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency Information
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     Chapter 113 Underdetermined Blind Separation of Convolutive Mixtures of Speech with Directivity Pattern Based Mask and ICA
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     Chapter 114 A Digital Watermarking Technique Based on ICA Image Features
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     Chapter 115 A Model for Analyzing Dependencies Between Two ICA Features in Natural Images
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     Chapter 116 An Iterative Blind Source Separation Method for Convolutive Mixtures of Images
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     Chapter 117 Astrophysical Source Separation Using Particle Filters
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     Chapter 118 Independent Component Analysis in the Watermarking of Digital Images
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     Chapter 119 Spatio-chromatic ICA of a Mosaiced Color Image
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     Chapter 120 An Extended Maximum Likelihood Approach for the Robust Blind Separation of Autocorrelated Images from Noisy Mixtures
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     Chapter 121 Blind Separation of Spatio-temporal Data Sources
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     Chapter 122 Data Hiding in Independent Components of Video
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     Chapter 123 3D Spatial Analysis of fMRI Data on a Word Perception Task
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     Chapter 124 Decomposition of Synthetic Multi-channel Surface-Electromyogram Using Independent Component Analysis
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     Chapter 125 Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals
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     Chapter 126 MEG/EEG Source Localization Using Spatio-temporal Sparse Representations
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     Chapter 127 Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals
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     Chapter 128 Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis
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     Chapter 129 A Comparison of Time Structure and Statistically Based BSS Methods in the Context of Long-Term Epileptiform EEG Recordings
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     Chapter 130 A Framework for Evaluating ICA Methods of Artifact Removal from Multichannel EEG
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     Chapter 131 A New Method for Eliminating Stimulus Artifact in Transient Evoked Otoacoustic Emission Using ICA
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     Chapter 132 An Efficient Time-Frequency Approach to Blind Source Separation Based on Wavelets
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     Chapter 133 Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms
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     Chapter 134 Denoising Mammographic Images Using ICA
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     Chapter 135 Independent Component Analysis of Pulse Oximetry Signals Based on Derivative Skew
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     Chapter 136 Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation Analysis
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     Chapter 137 ‘Signal Subspace’ Blind Source Separation Applied to Fetal Magnetocardiographic Signals Extraction
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     Chapter 138 Suppression of Ventricular Activity in the Surface Electrocardiogram of Atrial Fibrillation
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     Chapter 139 Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA
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     Chapter 140 Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers
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     Chapter 141 A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures
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     Chapter 142 An Application of ICA to Identify Vibratory Low-Level Signals Generated by Termites
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     Chapter 143 Application of Blind Source Separation to a Novel Passive Location
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     Chapter 144 Blind Source Separation in the Adaptive Reduction of Inter-channel Interference for OFDM
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     Chapter 145 BSS for Series of Electron Energy Loss Spectra
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     Chapter 146 HOS Based Distinctive Features for Preliminary Signal Classification
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     Chapter 147 ICA as a Preprocessing Technique for Classification
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     Chapter 148 Joint Delay Tracking and Interference Cancellation in DS-CDMA Systems Using Successive ICA for Oversaturated Data
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     Chapter 149 Layered Space Frequency Equalisation for MIMO-MC-CDMA Systems in Frequency Selective Fading Channels
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     Chapter 150 Multiuser Detection and Channel Estimation in MIMO OFDM Systems via Blind Source Separation
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     Chapter 151 Music Transcription with ISA and HMM
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     Chapter 152 On Shift-Invariant Sparse Coding
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     Chapter 153 Reliability in ICA-Based Text Classification
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     Chapter 154 Source Separation on Astrophysical Data Sets from the WMAP Satellite
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     Chapter 155 Multidimensional ICA for the Separation of Atrial and Ventricular Activities from Single Lead ECGs in Paroxysmal Atrial Fibrillation Episodes
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     Chapter 156 Music Indexing Using Independent Component Analysis with Pseudo-generated Sources
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     Chapter 157 Lie Group Methods for Optimization with Orthogonality Constraints
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     Chapter 158 A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images