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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 Simple LU and QR Based Non-orthogonal Matrix Joint Diagonalization
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    Chapter 2 Separation of Nonlinear Image Mixtures by Denoising Source Separation
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    Chapter 3 Second-Order Separation of Multidimensional Sources with Constrained Mixing System
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    Chapter 4 Fast Kernel Density Independent Component Analysis
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    Chapter 5 Csiszár’s Divergences for Non-negative Matrix Factorization: Family of New Algorithms
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    Chapter 6 Second-Order Blind Identification of Underdetermined Mixtures
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    Chapter 7 Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures
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    Chapter 8 Equivariant Algorithms for Estimating the Strong-Uncorrelating Transform in Complex Independent Component Analysis
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    Chapter 9 Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics
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    Chapter 10 Model Structure Selection in Convolutive Mixtures
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    Chapter 11 Estimating the Information Potential with the Fast Gauss Transform
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    Chapter 12 K-EVD Clustering and Its Applications to Sparse Component Analysis
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    Chapter 13 An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model
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    Chapter 14 Markovian Blind Image Separation
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    Chapter 15 New Permutation Algorithms for Causal Discovery Using ICA
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    Chapter 16 Eigenvector Algorithms with Reference Signals for Frequency Domain BSS
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    Chapter 17 Sparse Coding for Convolutive Blind Audio Source Separation
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    Chapter 18 ICA-Based Binary Feature Construction
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    Chapter 19 A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces
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    Chapter 20 Estimating Non-Gaussian Subspaces by Characteristic Functions
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    Chapter 21 Independent Vector Analysis: An Extension of ICA to Multivariate Components
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    Chapter 22 A One-Bit-Matching Learning Algorithm for Independent Component Analysis
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    Chapter 23 Blind Separation of Underwater Acoustic Signals
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    Chapter 24 Partitioned Factor Analysis for Interference Suppression and Source Extraction
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    Chapter 25 Recursive Generalized Eigendecomposition for Independent Component Analysis
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    Chapter 26 Recovery of Sparse Representations by Polytope Faces Pursuit
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    Chapter 27 ICA Based Semi-supervised Learning Algorithm for BCI Systems
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    Chapter 28 State Inference in Variational Bayesian Nonlinear State-Space Models
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    Chapter 29 Quadratic MIMO Contrast Functions for Blind Source Separation in a Convolutive Context
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    Chapter 30 A Canonical Genetic Algorithm for Blind Inversion of Linear Channels
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    Chapter 31 Efficient Separation of Convolutive Image Mixtures
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    Chapter 32 Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets
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    Chapter 33 Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation
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    Chapter 34 Minimum Support ICA Using Order Statistics. Part II: Performance Analysis
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    Chapter 35 Separation of Periodically Time-Varying Mixtures Using Second-Order Statistics
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    Chapter 36 An Independent Component Ordering and Selection Procedure Based on the MSE Criterion
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    Chapter 37 Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis
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    Chapter 38 A Two-Stage Based Approach for Extracting Periodic Signals
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    Chapter 39 ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments
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    Chapter 40 Separability of Convolutive Mixtures: Application to the Separation of Combustion Noise and Piston-Slap in Diesel Engine
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    Chapter 41 Blind Signal Separation on Real Data: Tracking and Implementation
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    Chapter 42 Compression of Multicomponent Satellite Images Using Independent Components Analysis
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    Chapter 43 Fixed-Point Complex ICA Algorithms for the Blind Separation of Sources Using Their Real or Imaginary Components
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    Chapter 44 Blind Estimation of Row Relative Degree Via Constrained Mutual Information Minimization
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    Chapter 45 Undoing the Affine Transformation Using Blind Source Separation
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    Chapter 46 Source Separation of Astrophysical Ice Mixtures
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    Chapter 47 Improvement on Multivariate Statistical Process Monitoring Using Multi-scale ICA
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    Chapter 48 Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis
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    Chapter 49 BLUES from Music: BLind Underdetermined Extraction of Sources from Music
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    Chapter 50 On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission Signals
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    Chapter 51 Two Applications of Independent Component Analysis for Non-destructive Evaluation by Ultrasounds
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    Chapter 52 Blind Spatial Multiplexing Using Order Statistics for Time-Varying Channels
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    Chapter 53 Semi-blind Equalization of Wireless MIMO Frequency Selective Communication Channels
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    Chapter 54 Comparison of BSS Methods for the Detection of α-Activity Components in EEG
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    Chapter 55 Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR
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    Chapter 56 Cogito Componentiter Ergo Sum
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    Chapter 57 Kernel Independent Component Analysis for Gene Expression Data Clustering
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    Chapter 58 Topographic Independent Component Analysis of Gene Expression Time Series Data
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    Chapter 59 Blind Source Separation of Cardiac Murmurs from Heart Recordings
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    Chapter 60 Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation
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    Chapter 61 Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis
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    Chapter 62 Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial Fibrillation
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    Chapter 63 Brains and Phantoms: An ICA Study of fMRI
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    Chapter 64 Comparison of ICA Algorithms for the Isolation of Biological Artifacts in Magnetoencephalography
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    Chapter 65 Automatic De-noising of Doppler Ultrasound Signals Using Matching Pursuit Method
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    Chapter 66 A Novel Normalization and Regularization Scheme for Broadband Convolutive Blind Source Separation
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    Chapter 67 A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Instantaneous Mixture
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    Chapter 68 Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources
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    Chapter 69 Independent Component Analysis for Speech Enhancement with Missing TF Content
  71. Altmetric Badge
    Chapter 70 Harmonic Source Separation Using Prestored Spectra
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    Chapter 71 Underdetermined Convoluted Source Reconstruction Using LP and SOCP, and a Neural Approximator of the Optimizer
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    Chapter 72 Utilization of Blind Source Separation Algorithms for MIMO Linear Precoding
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    Chapter 73 Speech Enhancement Based on the Response Features of Facilitated EI Neurons
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    Chapter 74 Blind Separation of Sparse Sources Using Jeffrey’s Inverse Prior and the EM Algorithm
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    Chapter 75 Solution of Permutation Problem in Frequency Domain ICA, Using Multivariate Probability Density Functions
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    Chapter 76 ICA-Based Speech Features in the Frequency Domain
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    Chapter 77 Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance
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    Chapter 78 Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS
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    Chapter 79 Under-Determined Source Separation: Comparison of Two Approaches Based on Sparse Decompositions
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    Chapter 80 Separation of Mixed Audio Signals by Source Localization and Binary Masking with Hilbert Spectrum
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    Chapter 81 ICA and Binary-Mask-Based Blind Source Separation with Small Directional Microphones
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    Chapter 82 Blind Deconvolution with Sparse Priors on the Deconvolution Filters
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    Chapter 83 Estimating the Spatial Position of Spectral Components in Audio
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    Chapter 84 Separating Underdetermined Convolutive Speech Mixtures
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    Chapter 85 Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures
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    Chapter 86 On Calculating the Inverse of Separation Matrix in Frequency-Domain Blind Source Separation
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    Chapter 87 Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation
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    Chapter 88 Speech Enhancement in Short-Wave Channel Based on ICA in Empirical Mode Decomposition Domain
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    Chapter 89 Robust Preprocessing of Gene Expression Microarrays for Independent Component Analysis
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    Chapter 90 Single-Channel Mixture Decomposition Using Bayesian Harmonic Models
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    Chapter 91 Enhancement of Source Independence for Blind Source Separation
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    Chapter 92 Speech Enhancement Using ICA with EMD-Based Reference
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    Chapter 93 Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS)
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    Chapter 94 On the Identifiability Testing in Blind Source Separation Using Resampling Technique
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    Chapter 95 On a Sparse Component Analysis Approach to Blind Source Separation
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    Chapter 96 Post-nonlinear Underdetermined ICA by Bayesian Statistics
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    Chapter 97 Relationships Between the FastICA Algorithm and the Rayleigh Quotient Iteration
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    Chapter 98 Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation
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    Chapter 99 Multivariate Scale Mixture of Gaussians Modeling
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    Chapter 100 Sparse Deflations in Blind Signal Separation
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    Chapter 101 Global Analysis of Log Likelihood Criterion
  103. Altmetric Badge
    Chapter 102 A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking
  104. Altmetric Badge
    Chapter 103 Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation
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    Chapter 104 Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition
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    Chapter 105 Kernel Principal Components Are Maximum Entropy Projections
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    Chapter 106 Super-Gaussian Mixture Source Model for ICA
  108. Altmetric Badge
    Chapter 107 Instantaneous MISO Separation of BPSK Sources
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    Chapter 108 Blind Partial Separation of Instantaneous Mixtures of Sources
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    Chapter 109 Contrast Functions for Blind Source Separation Based on Time-Frequency Information-Theory
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    Chapter 110 Information–Theoretic Nonstationary Source Separation
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    Chapter 111 Local Convergence Analysis of FastICA
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    Chapter 112 Testing Significance of Mixing and Demixing Coefficients in ICA
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    Chapter 113 Cross-Entropy Optimization for Independent Process Analysis
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    Chapter 114 Uniqueness of Non-Gaussian Subspace Analysis
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    Chapter 115 A Maximum Likelihood Approach to Nonlinear Convolutive Blind Source Separation
  117. Altmetric Badge
    Chapter 116 On Separation of Semitransparent Dynamic Images from Static Background
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    Chapter 117 Facial Expression Recognition by ICA with Selective Prior
  119. Altmetric Badge
    Chapter 118 An Easily Computable Eight Times Overcomplete ICA Method for Image Data
  120. Altmetric Badge
    Chapter 119 The InfoMin Principle for ICA and Topographic Mappings
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    Chapter 120 Non-negative Matrix Factorization Approach to Blind Image Deconvolution
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Title
Independent Component Analysis and Blind Signal Separation
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/11679363
ISBNs
978-3-54-032630-4, 978-3-54-032631-1
Editors

Justinian Rosca, Deniz Erdogmus, José C. Príncipe, Simon Haykin

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 2 3%
Bangladesh 1 2%
Czechia 1 2%
Ireland 1 2%
Spain 1 2%
China 1 2%
Unknown 57 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 33%
Student > Master 14 21%
Student > Doctoral Student 9 14%
Researcher 5 8%
Student > Bachelor 4 6%
Other 9 14%
Unknown 3 5%
Readers by discipline Count As %
Engineering 26 39%
Computer Science 12 18%
Mathematics 4 6%
Neuroscience 4 6%
Agricultural and Biological Sciences 2 3%
Other 11 17%
Unknown 7 11%

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