Independent Component Analysis and Blind Signal Separation
Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, Proceedings
(Sprache: Englisch)
In many situations found both in Nature and in human-built systems, a set of mixed signalsisobserved(frequentlyalsowithnoise),anditisofgreatscienti?candtech- logicalrelevanceto beableto isolateor separatethemso thattheinformationin each...
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Klappentext zu „Independent Component Analysis and Blind Signal Separation “
In many situations found both in Nature and in human-built systems, a set of mixed signalsisobserved(frequentlyalsowithnoise),anditisofgreatscienti?candtech- logicalrelevanceto beableto isolateor separatethemso thattheinformationin each ofthesignalscanbeutilized. Blind source separation (BSS) research is one of the more interesting emerging ?eldsnowadaysinthe?eldofsignalprocessing.Itdealswiththealgorithmsthatallow therecoveryoftheoriginalsourcesfromasetofmixturesonly.Theadjective blind is applied becausethe purposeis to estimate the originalsourceswithoutany a priori knowledgeabouteitherthesourcesorthemixingsystem.Mostofthemodelsemployed in BSS assume the hypothesisabout the independenceof the original sources. Under this hypothesis,a BSS problemcan be consideredas a particularcase of independent componentanalysis(ICA),alineartransformationtechniquethat,startingfromam- tivariate representation of the data, minimizes the statistical dependence between the componentsoftherepresentation.Itcan beclaimed thatmostoftheadvancesin ICA havebeenmotivatedbythesearchforsolutionstotheBSSproblemand,theotherway around,advancesinICAhavebeenimmediatelyappliedtoBSS. ICA and BSS algorithms start from a mixture model, whose parameters are - timated from the observed mixtures. Separation is achieved by applying the inverse mixturemodelto theobservedsignals(separatingorunmixingmodel).Mixturem- els usually fall into three broad categories: instantaneous linear models, convolutive modelsandnonlinearmodels,the?rstonebeingthesimplestbut,in general,notnear realisticapplications.Thedevelopmentandtestofthealgorithmscanbeaccomplished throughsyntheticdataorwithreal-worlddata.Obviously,themostimportantaim(and mostdif?cult)istheseparationofreal-worldmixtures.BSSandICAhavestrongre- tionsalso,apartfromsignalprocessing,withother?eldssuchasstatisticsandarti?cial neuralnetworks. As long as we can ?nd a system that emits signals propagated through a mean,
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andthosesignalsarereceivedbyasetofsensorsandthereisaninterestinrecovering the originalsources,we have a potential?eld ofapplication forBSS and ICA. Inside thatwiderangeofapplicationswecan?nd,forinstance:noisereductionapplications, biomedicalapplications,audiosystems,telecommunications,andmanyothers. This volume comes out just 20 years after the ?rst contributionsin ICA and BSS 1 appeared . Thereinafter,the numberof research groupsworking in ICA and BSS has been constantly growing, so that nowadays we can estimate that far more than 100 groupsareresearchinginthese?elds. Asproofoftherecognitionamongthescienti?ccommunityofICAandBSSdev- opmentstherehavebeennumerousspecialsessionsandspecialissuesinseveralwell- 1 J.Herault, B.Ans, Circuits neuronaux à synapses modi?ables: décodage de messages c- posites para apprentissage non supervise , C.R. de l Académie des Sciences, vol. 299, no. III-13,pp.525 528,1984.
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Inhaltsverzeichnis zu „Independent Component Analysis and Blind Signal Separation “
- Theory and Fundamentals- A FastICA Algorithm for Non-negative Independent Component Analysis
- Blind Source Separation by Adaptive Estimation of Score Function Difference
- Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias
- Gaussianizing Transformations for ICA
- New Eigensystem-Based Method for Blind Source Separation
- Optimization Issues in Noisy Gaussian ICA
- Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA
- The Minimum Support Criterion for Blind Signal Extraction: A Limiting Case of the Strengthened Young's Inequality
- Accurate, Fast and Stable Denoising Source Separation Algorithms
- An Overview of BSS Techniques Based on Order Statistics: Formulation and Implementation Issues
- Analytical Solution of the Blind Source Separation Problem Using Derivatives
- Approximate Joint Diagonalization Using a Natural Gradient Approach
- BSS, Classification and Pixel Demixing
- Blind Identification of Complex Under-Determined Mixtures
- Blind Separation of Heavy-Tailed Signals Using Normalized Statistics
- Blind Source Separation of Linear Mixtures with Singular Matrices
- Closely Arranged Directional Microphone for Source Separation
- Estimating Functions for Blind Separation when Sources Have Variance-Dependencies
- Framework of Constrained Matrix Gradient Flows
- Identifiability, Subspace Selection and Noisy ICA
- Improving GRNNs in CAD Systems
- Fisher Information in Source Separation Problems
- Localization of P300 Sources in Schizophrenia Patients Using Constrained BSS
- On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions
- On the Minimum ?1-Norm Signal Recovery in Underdetermined Source Separation
- On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries
- Reliability of ICA Estimates with Mutual Information
- Robust ICA for Super-Gaussian Sources
- Robustness of
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Prewhitening Against Heavy-Tailed Sources
- Simultaneous Extraction of Signal Using Algorithms Based on the Nonstationarity
- Space-Time Variant Blind Source Separation with Additive Noise
- The Use of ICA in Speckle Noise
- Theoretical Method for Solving BSS-ICA Using SVM
- Wavelet De-noising for Blind Source Separation in Noisy Mixtures
- Linear Mixture Models
- A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction
- Blind Separation of Nonstationary Sources by Spectral Decorrelation
- Delayed AMUSE - A Tool for Blind Source Separation and Denoising
- Dimensionality Reduction in ICA and Rank-(R 1,R 2,...,R N ) Reduction in Multilinear Algebra
- Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm
- Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures
- Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization
- Underdetermined Source Separation with Structured Source Priors
- A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA
- An Approach of Moment-Based Algorithm for Noisy ICA Models
- Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals
- A Novel Method to Recover N Sources from N-1 Observations and Its Application to Digital Communications
- A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency Representations
- Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous Mixtures
- Application of Gaussian Mixture Models for Blind Separation of Independent Sources
- Asymptotically Optimal Blind Separation of Parametric Gaussian Sources
- Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources
- Blind Source Separation Using the Block-Coordinate Relative Newton Method
- Hybridizing Genetic Algorithms with ICA in Higher Dimension
- ICA Using Kernel Entropy Estimation with NlogN Complexity
- Soft-LOST: EM on a Mixture of Oriented Lines
- Some Gradient Based Joint Diagonalization Methods for ICA
- Underdetermined Independent Component Analysis by Data Generation
- Convolutive Models
- Batch Mutually Referenced Separation Algorithm for MIMO Convolutive Mixtures
- Frequency Domain Blind Source Separation for Many Speech Signals
- ICA Model Applied to Multichannel Non-destructive Evaluation by Impact-Echo
- Monaural Source Separation Using Spectral Cues
- Multichannel Speech Separation Using Adaptive Parameterization of Source PDFs
- Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs
- Optimal Sparse Representations for Blind Deconvolution of Images
- Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based Approach
- A Continuous Time Balanced Parametrization Approach to Multichannel Blind Deconvolution
- A Frequency-Domain Normalized Multichannel Blind Deconvolution Algorithm for Acoustical Signals
- A Novel Hybrid Approach to the Permutation Problem of Frequency Domain Blind Source Separation
- Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures
- Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening
- Blind Deconvolution Using the Relative Newton Method
- Blind Equalization Using Direct Channel Estimation
- Blind MIMO Identification Using the Second Characteristic Function
- Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
- Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach
- CICAAR: Convolutive ICA with an Auto-regressive Inverse Model
- Detection by SNR Maximization: Application to the Blind Source Separation Problem
- Estimating the Number of Sources for Frequency-Domain Blind Source Separation
- Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC
- Evaluation of Multistage SIMO-Model-Based Blind Source Separation Combining Frequency-Domain ICA and Time-Domain ICA
- On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation Algorithms
- On the FIR Inversion of an Acoustical Convolutive Mixing System: Properties and Limitations
- Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering
- Penalty Function Approach for Constrained Convolutive Blind Source Separation
- Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods
- QML Blind Deconvolution: Asymptotic Analysis
- Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear Systems
- Nonlinear ICA and BSS
- Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
- Markovian Source Separation in Post-nonlinear Mixtures
- Non-linear ICA by Using Isometric Dimensionality Reduction
- Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
- Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
- Separating a Real-Life Nonlinear Mixture of Images
- Independent Slow Feature Analysis and Nonlinear Blind Source Separation
- Nonlinear PCA/ICA for the Structure from Motion Problem
- Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS
- Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
- Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA
- Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis
- Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
- Speech Processing Applications
- A Geometric Approach for Separating Several Speech Signals
- A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures
- Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration
- DOA Detection from HOS by FOD Beamforming and Joint-Process Estimation
- Nonlinear Postprocessing for Blind Speech Separation
- Real-Time Convolutive Blind Source Separation Based on a Broadband Approach
- A New Approach to the Permutation Problem in Frequency Domain Blind Source Separation
- Adaptive Cross-Channel Interference Cancellation on Blind Source Separation Outputs
- Application of the Mutual Information Minimization to Speaker Recognition / Verification Improvement
- Single Channel Speech Enhancement: MAP Estimation Using GGD Prior Under Blind Setup
- Stable and Low-Distortion Algorithm Based on Overdetermined Blind Separation for Convolutive Mixtures of Speech
- Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency Information
- Underdetermined Blind Separation of Convolutive Mixtures of Speech with Directivity Pattern Based Mask and ICA
- Image Processing Applications
- A Digital Watermarking Technique Based on ICA Image Features
- A Model for Analyzing Dependencies Between Two ICA Features in Natural Images
- An Iterative Blind Source Separation Method for Convolutive Mixtures of Images
- Astrophysical Source Separation Using Particle Filters
- Independent Component Analysis in the Watermarking of Digital Images
- Spatio-chromatic ICA of a Mosaiced Color Image
- An Extended Maximum Likelihood Approach for the Robust Blind Separation of Autocorrelated Images from Noisy Mixtures
- Blind Separation of Spatio-temporal Data Sources
- Data Hiding in Independent Components of Video
- Biomedical Applications
- 3D Spatial Analysis of fMRI Data on a Word Perception Task
- Decomposition of Synthetic Multi-channel Surface-Electromyogram Using Independent Component Analysis
- Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals
- MEG/EEG Source Localization Using Spatio-temporal Sparse Representations
- Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals
- Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis
- A Comparison of Time Structure and Statistically Based BSS Methods in the Context of Long-Term Epileptiform EEG Recordings
- A Framework for Evaluating ICA Methods of Artifact Removal from Multichannel EEG
- A New Method for Eliminating Stimulus Artifact in Transient Evoked Otoacoustic Emission Using ICA
- An Efficient Time-Frequency Approach to Blind Source Separation Based on Wavelets
- Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms
- Denoising Mammographic Images Using ICA
- Independent Component Analysis of Pulse Oximetry Signals Based on Derivative Skew
- Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation Analysis
- 'Signal Subspace' Blind Source Separation Applied to Fetal Magnetocardiographic Signals Extraction
- Suppression of Ventricular Activity in the Surface Electrocardiogram of Atrial Fibrillation
- Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA
- Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers
- Other Applications
- A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures
- An Application of ICA to Identify Vibratory Low-Level Signals Generated by Termites
- Application of Blind Source Separation to a Novel Passive Location
- Blind Source Separation in the Adaptive Reduction of Inter-channel Interference for OFDM
- BSS for Series of Electron Energy Loss Spectra
- HOS Based Distinctive Features for Preliminary Signal Classification
- ICA as a Preprocessing Technique for Classification
- Joint Delay Tracking and Interference Cancellation in DS-CDMA Systems Using Successive ICA for Oversaturated Data
- Layered Space Frequency Equalisation for MIMO-MC-CDMA Systems in Frequency Selective Fading Channels
- Multiuser Detection and Channel Estimation in MIMO OFDM Systems via Blind Source Separation
- Music Transcription with ISA and HMM
- On Shift-Invariant Sparse Coding
- Reliability in ICA-Based Text Classification
- Source Separation on Astrophysical Data Sets from the WMAP Satellite
- Multidimensional ICA for the Separation of Atrial and Ventricular Activities from Single Lead ECGs in Paroxysmal Atrial Fibrillation Episodes
- Music Indexing Using Independent Component Analysis with Pseudo-generated Sources
- Invited Contributions
- Lie Group Methods for Optimization with Orthogonality Constraints
- A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images
- Simultaneous Extraction of Signal Using Algorithms Based on the Nonstationarity
- Space-Time Variant Blind Source Separation with Additive Noise
- The Use of ICA in Speckle Noise
- Theoretical Method for Solving BSS-ICA Using SVM
- Wavelet De-noising for Blind Source Separation in Noisy Mixtures
- Linear Mixture Models
- A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction
- Blind Separation of Nonstationary Sources by Spectral Decorrelation
- Delayed AMUSE - A Tool for Blind Source Separation and Denoising
- Dimensionality Reduction in ICA and Rank-(R 1,R 2,...,R N ) Reduction in Multilinear Algebra
- Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm
- Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures
- Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization
- Underdetermined Source Separation with Structured Source Priors
- A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA
- An Approach of Moment-Based Algorithm for Noisy ICA Models
- Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals
- A Novel Method to Recover N Sources from N-1 Observations and Its Application to Digital Communications
- A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency Representations
- Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous Mixtures
- Application of Gaussian Mixture Models for Blind Separation of Independent Sources
- Asymptotically Optimal Blind Separation of Parametric Gaussian Sources
- Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources
- Blind Source Separation Using the Block-Coordinate Relative Newton Method
- Hybridizing Genetic Algorithms with ICA in Higher Dimension
- ICA Using Kernel Entropy Estimation with NlogN Complexity
- Soft-LOST: EM on a Mixture of Oriented Lines
- Some Gradient Based Joint Diagonalization Methods for ICA
- Underdetermined Independent Component Analysis by Data Generation
- Convolutive Models
- Batch Mutually Referenced Separation Algorithm for MIMO Convolutive Mixtures
- Frequency Domain Blind Source Separation for Many Speech Signals
- ICA Model Applied to Multichannel Non-destructive Evaluation by Impact-Echo
- Monaural Source Separation Using Spectral Cues
- Multichannel Speech Separation Using Adaptive Parameterization of Source PDFs
- Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs
- Optimal Sparse Representations for Blind Deconvolution of Images
- Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based Approach
- A Continuous Time Balanced Parametrization Approach to Multichannel Blind Deconvolution
- A Frequency-Domain Normalized Multichannel Blind Deconvolution Algorithm for Acoustical Signals
- A Novel Hybrid Approach to the Permutation Problem of Frequency Domain Blind Source Separation
- Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures
- Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening
- Blind Deconvolution Using the Relative Newton Method
- Blind Equalization Using Direct Channel Estimation
- Blind MIMO Identification Using the Second Characteristic Function
- Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
- Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach
- CICAAR: Convolutive ICA with an Auto-regressive Inverse Model
- Detection by SNR Maximization: Application to the Blind Source Separation Problem
- Estimating the Number of Sources for Frequency-Domain Blind Source Separation
- Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC
- Evaluation of Multistage SIMO-Model-Based Blind Source Separation Combining Frequency-Domain ICA and Time-Domain ICA
- On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation Algorithms
- On the FIR Inversion of an Acoustical Convolutive Mixing System: Properties and Limitations
- Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering
- Penalty Function Approach for Constrained Convolutive Blind Source Separation
- Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods
- QML Blind Deconvolution: Asymptotic Analysis
- Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear Systems
- Nonlinear ICA and BSS
- Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
- Markovian Source Separation in Post-nonlinear Mixtures
- Non-linear ICA by Using Isometric Dimensionality Reduction
- Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
- Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
- Separating a Real-Life Nonlinear Mixture of Images
- Independent Slow Feature Analysis and Nonlinear Blind Source Separation
- Nonlinear PCA/ICA for the Structure from Motion Problem
- Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS
- Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
- Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA
- Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis
- Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
- Speech Processing Applications
- A Geometric Approach for Separating Several Speech Signals
- A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures
- Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration
- DOA Detection from HOS by FOD Beamforming and Joint-Process Estimation
- Nonlinear Postprocessing for Blind Speech Separation
- Real-Time Convolutive Blind Source Separation Based on a Broadband Approach
- A New Approach to the Permutation Problem in Frequency Domain Blind Source Separation
- Adaptive Cross-Channel Interference Cancellation on Blind Source Separation Outputs
- Application of the Mutual Information Minimization to Speaker Recognition / Verification Improvement
- Single Channel Speech Enhancement: MAP Estimation Using GGD Prior Under Blind Setup
- Stable and Low-Distortion Algorithm Based on Overdetermined Blind Separation for Convolutive Mixtures of Speech
- Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency Information
- Underdetermined Blind Separation of Convolutive Mixtures of Speech with Directivity Pattern Based Mask and ICA
- Image Processing Applications
- A Digital Watermarking Technique Based on ICA Image Features
- A Model for Analyzing Dependencies Between Two ICA Features in Natural Images
- An Iterative Blind Source Separation Method for Convolutive Mixtures of Images
- Astrophysical Source Separation Using Particle Filters
- Independent Component Analysis in the Watermarking of Digital Images
- Spatio-chromatic ICA of a Mosaiced Color Image
- An Extended Maximum Likelihood Approach for the Robust Blind Separation of Autocorrelated Images from Noisy Mixtures
- Blind Separation of Spatio-temporal Data Sources
- Data Hiding in Independent Components of Video
- Biomedical Applications
- 3D Spatial Analysis of fMRI Data on a Word Perception Task
- Decomposition of Synthetic Multi-channel Surface-Electromyogram Using Independent Component Analysis
- Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals
- MEG/EEG Source Localization Using Spatio-temporal Sparse Representations
- Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals
- Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis
- A Comparison of Time Structure and Statistically Based BSS Methods in the Context of Long-Term Epileptiform EEG Recordings
- A Framework for Evaluating ICA Methods of Artifact Removal from Multichannel EEG
- A New Method for Eliminating Stimulus Artifact in Transient Evoked Otoacoustic Emission Using ICA
- An Efficient Time-Frequency Approach to Blind Source Separation Based on Wavelets
- Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms
- Denoising Mammographic Images Using ICA
- Independent Component Analysis of Pulse Oximetry Signals Based on Derivative Skew
- Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation Analysis
- 'Signal Subspace' Blind Source Separation Applied to Fetal Magnetocardiographic Signals Extraction
- Suppression of Ventricular Activity in the Surface Electrocardiogram of Atrial Fibrillation
- Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA
- Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers
- Other Applications
- A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures
- An Application of ICA to Identify Vibratory Low-Level Signals Generated by Termites
- Application of Blind Source Separation to a Novel Passive Location
- Blind Source Separation in the Adaptive Reduction of Inter-channel Interference for OFDM
- BSS for Series of Electron Energy Loss Spectra
- HOS Based Distinctive Features for Preliminary Signal Classification
- ICA as a Preprocessing Technique for Classification
- Joint Delay Tracking and Interference Cancellation in DS-CDMA Systems Using Successive ICA for Oversaturated Data
- Layered Space Frequency Equalisation for MIMO-MC-CDMA Systems in Frequency Selective Fading Channels
- Multiuser Detection and Channel Estimation in MIMO OFDM Systems via Blind Source Separation
- Music Transcription with ISA and HMM
- On Shift-Invariant Sparse Coding
- Reliability in ICA-Based Text Classification
- Source Separation on Astrophysical Data Sets from the WMAP Satellite
- Multidimensional ICA for the Separation of Atrial and Ventricular Activities from Single Lead ECGs in Paroxysmal Atrial Fibrillation Episodes
- Music Indexing Using Independent Component Analysis with Pseudo-generated Sources
- Invited Contributions
- Lie Group Methods for Optimization with Orthogonality Constraints
- A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images
... weniger
Bibliographische Angaben
- 2004, XLVI, 1270 Seiten, Maße: 15,6 x 24,2 cm, Kartoniert (TB), Englisch
- Herausgegeben: Carlos G. Puntonet, Alberto Prieto
- Verlag: Springer, Berlin
- ISBN-10: 3540230564
- ISBN-13: 9783540230564
- Erscheinungsdatum: 17.09.2004
Sprache:
Englisch
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