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Produktbild: Latent Variable Analysis and Signal Separation
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Latent Variable Analysis and Signal Separation 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010, Proceedings

Aus der Reihe Lecture Notes in Computer Science

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.09.2010

Herausgeber

Vincent Vigneron + weitere

Verlag

Springer Berlin

Seitenzahl

655

Maße (L/B/H)

24,1/16,1/2,8 cm

Gewicht

943 g

Auflage

2010

Sprache

Englisch

ISBN

978-3-642-15994-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.09.2010

Herausgeber

Verlag

Springer Berlin

Seitenzahl

655

Maße (L/B/H)

24,1/16,1/2,8 cm

Gewicht

943 g

Auflage

2010

Sprache

Englisch

ISBN

978-3-642-15994-7

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 6221 3454301
Fax: +49 30 8214091

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  • Produktbild: Latent Variable Analysis and Signal Separation
  • Speech and Audio Applications.- Blind Source Separation Based on Time-Frequency Sparseness in the Presence of Spatial Aliasing.- Adaptive Time-Domain Blind Separation of Speech Signals.- Time-Domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure.- Subband Blind Audio Source Separation Using a Time-Domain Algorithm and Tree-Structured QMF Filter Bank.- A General Modular Framework for Audio Source Separation.- Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions.- Blind Speech Extraction Combining Generalized MMSE STSA Estimator and ICA-Based Noise and Speech Probability Density Function Estimations.- Blind Estimation of Locations and Time Offsets for Distributed Recording Devices.- Speech Separation via Parallel Factor Analysis of Cross-Frequency Covariance Tensor.- Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representation.- Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays.- Convolutive Signal Separation.- Consistent Wiener Filtering: Generalized Time-Frequency Masking Respecting Spectrogram Consistency.- Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain.- Single Microphone Blind Audio Source Separation Using EM-Kalman Filter and Short+Long Term AR Modeling.- The 2010 Signal Separation Evaluation Campaign (SiSEC2010).- The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation.- The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical Source Separation.- Audio.- Use of Bimodal Coherence to Resolve Spectral Indeterminacy in Convolutive BSS.- Non-negative Hidden Markov Modeling of Audio with Application to Source Separation.- Nonnegative Matrix Factorization with Markov-Chained Bases for Modeling Time-Varying Patterns in Music Spectrograms.- An Experimental Evaluation of Wiener Filter Smoothing Techniques Applied to Under-Determined Audio Source Separation.- Auxiliary-Function-Based Independent Component Analysis for Super-Gaussian Sources.- Theory.- ICA Separability of Nonlinear Models with References: General Properties and Application to Heisenberg-Coupled Quantum States (Qubits).- Adaptive Underdetermined ICA for Handling an Unknown Number of Sources.- Independent Phase Analysis: Separating Phase-Locked Subspaces.- Second and Higher-Order Correlation Analysis of Multiple Multidimensional Variables by Joint Diagonalization.- Independent Component Analysis of Time/Position Varying Mixtures.- Random Pruning of Blockwise Stationary Mixtures for Online BSS.- Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models.- A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis.- Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme.- Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation.- Information-Theoretic Model Selection for Independent Components.- Blind Source Separation of Overdetermined Linear-Quadratic Mixtures.- Constrained Complex-Valued ICA without Permutation Ambiguity Based on Negentropy Maximization.- Time Series Causality Inference Using Echo State Networks.- Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform.- A General Approach for Robustification of ICA Algorithms.- Strong Sub- and Super-Gaussianity.- Telecom.- Hybrid Channel Estimation Strategy for MIMO Systems with Decision Feedback Equalizer.- An Alternating Minimization Method for Sparse Channel Estimation.- A Method for Filter Equalization in Convolutive Blind Source Separation.- Cancellation of Nonlinear Inter-Carrier Interference in OFDM Systems with Nonlinear Power-Amplifiers.- Tensor Factorizations.- Probabilistic Latent Tensor Factorization.- Nonorthogonal Independent Vector Analysis Using Multivariate Gaussian Model.- Deterministic Blind Separation of Sources Having Different Symbol Rates Using Tensor-Based Parallel Deflation.- Second Order Subspace Analysis and Simple Decompositions.- Sensitivity of Joint Approximate Diagonalization in FD BSS.- Sparsity I.- Blind Compressed Sensing: Theory.- Blind Extraction of the Sparsest Component.- Blind Extraction of Intermittent Sources.- Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach.- SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms.- Sparsity; Biomedical Applications.- Fast Block-Sparse Decomposition Based on SL0.- Second-Order Source Separation Based on Prior Knowledge Realized in a Graph Model.- Noise Adjusted PCA for Finding the Subspace of Evoked Dependent Signals from MEG Data.- Binary Sparse Coding.- A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation.- Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging.- Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments.- Non-negativity; Image Processing Applications.- Using Non-Negative Matrix Factorization for Removing Show-Through.- Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain.- Informed Source Separation Using Latent Components.- Non-stationary t-Distribution Prior for Image Source Separation from Blurred Observations.- Automatic Rank Determination in Projective Nonnegative Matrix Factorization.- Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization.- A New Geometrical BSS Approach for Non Negative Sources.- Dependent Component Analysis for Cosmology: A Case Study.- Tensors; Joint Diagonalization.- A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources.- Joint Eigenvalue Decomposition Using Polar Matrix Factorization.- Joint SVD and Its Application to Factorization Method.- Sparsity II.- Double Sparsity: Towards Blind Estimation of Multiple Channels.- Adaptive and Non-adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in ML Sequence-by-Sequence Equalization.- Biomedical Applications.- Extraction of Foetal Contribution to ECG Recordings Using Cyclostationarity-Based Source Separation Method.- Common SpatioTemporal Pattern Analysis.- Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation.- Semi-nonnegative Independent Component Analysis: The (3,4)-SENICAexp Method.- Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential.- Emerging Topics.- Riemannian Geometry Applied to BCI Classification.- Separating Reflections from a Single Image Using Spatial Smoothness and Structure Information.- ICA over Finite Fields.