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Independent Component Analysis and Blind Signal Separation

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Cover of 'Independent Component Analysis and Blind Signal Separation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  101. Altmetric Badge
    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
  109. Altmetric Badge
    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
  153. Altmetric Badge
    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
  156. Altmetric Badge
    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
Attention for Chapter 47: A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency Representations
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