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Latent Variable Analysis and Signal Separation

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Cover of 'Latent Variable Analysis and Signal Separation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Block Component Analysis, a New Concept for Blind Source Separation
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    Chapter 2 Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs
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    Chapter 3 Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders
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    Chapter 4 Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses
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    Chapter 5 Online PLCA for Real-Time Semi-supervised Source Separation
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    Chapter 6 Cramér-Rao Bound for Circular Complex Independent Component Analysis
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    Chapter 7 Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions
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    Chapter 8 Exact and Approximate Quantum Independent Component Analysis for Qubit Uncoupling
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    Chapter 9 A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis
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    Chapter 10 Algebraic Solutions to Complex Blind Source Separation
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    Chapter 11 On the Separation Performance of the Strong Uncorrelating Transformation When Applied to Generalized Covariance and Pseudo-covariance Matrices
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    Chapter 12 A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
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    Chapter 13 A Probability-Based Combination Method for Unsupervised Clustering with Application to Blind Source Separation
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    Chapter 14 Charrelation Matrix Based ICA
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    Chapter 15 Contrast Functions for Independent Subspace Analysis
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    Chapter 16 Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study
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    Chapter 17 New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem
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    Chapter 18 The Role of Whitening for Separation of Synchronous Sources
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    Chapter 19 Simultaneous Diagonalization of Skew-Symmetric Matrices in the Symplectic Group
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    Chapter 20 Joint Block Diagonalization Algorithms for Optimal Separation of Multidimensional Components
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    Chapter 21 On Computation of Approximate Joint Block-Diagonalization Using Ordinary AJD
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    Chapter 22 Joint Diagonalization of Several Scatter Matrices for ICA
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    Chapter 23 To Infinity and Beyond: On ICA over Hilbert Spaces
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    Chapter 24 Regularized Sparse Representation for Spectrometric Pulse Separation and Counting Rate Estimation
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    Chapter 25 Some Uniqueness Results in Sparse Convolutive Source Separation
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    Chapter 26 Ternary Sparse Coding
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    Chapter 27 Closed-Form EM for Sparse Coding and Its Application to Source Separation
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    Chapter 28 Convolutive Underdetermined Source Separation through Weighted Interleaved ICA and Spatio-temporal Source Correlation
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    Chapter 29 Dictionary Learning with Large Step Gradient Descent for Sparse Representations
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    Chapter 30 Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures
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    Chapter 31 Collaborative Filtering via Group-Structured Dictionary Learning
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    Chapter 32 Group Polytope Faces Pursuit for Recovery of Block-Sparse Signals
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    Chapter 33 Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification
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    Chapter 34 An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices
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    Chapter 35 Bayesian Non-negative Matrix Factorization with Learned Temporal Smoothness Priors
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    Chapter 36 On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations
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    Chapter 37 On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
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    Chapter 38 An On-Line NMF Model for Temporal Pattern Learning: Theory with Application to Automatic Speech Recognition
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    Chapter 39 Latent Variable Analysis and Signal Separation
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    Chapter 40 Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization
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    Chapter 41 Latent Variable Analysis and Signal Separation
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    Chapter 42 Non-negative Matrix Factorization Based Noise Reduction for Noise Robust Automatic Speech Recognition
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    Chapter 43 Audio Imputation Using the Non-negative Hidden Markov Model
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    Chapter 44 A Non-negative Approach to Language Informed Speech Separation
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    Chapter 45 Temporally-Constrained Convolutive Probabilistic Latent Component Analysis for Multi-pitch Detection
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    Chapter 46 A Latently Constrained Mixture Model for Audio Source Separation and Localization
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    Chapter 47 Multiple Instrument Mixtures Source Separation Evaluation Using Instrument-Dependent NMF Models
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    Chapter 48 Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation
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    Chapter 49 A General Framework for Online Audio Source Separation
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    Chapter 50 Sound Recognition in Mixtures
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    Chapter 51 The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio Source Separation -
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    Chapter 52 The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical Data Analysis -
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    Chapter 53 Improved Perceptual Metrics for the Evaluation of Audio Source Separation
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    Chapter 54 Musical Audio Source Separation Based on User-Selected F0 Track
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    Chapter 55 A GMM Sound Source Model for Blind Speech Separation in Under-determined Conditions
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    Chapter 56 Model-Driven Speech Enhancement for Multisource Reverberant Environment (Signal Separation Evaluation Campaign (SiSEC) 2011)
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    Chapter 57 Semi-blind Source Separation Based on ICA and Overlapped Speech Detection
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    Chapter 58 Nonparametric Modelling of ECG: Applications to Denoising and to Single Sensor Fetal ECG Extraction
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    Chapter 59 Nesterov’s Iterations for NMF-Based Supervised Classification of Texture Patterns
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    Chapter 60 Detection of Aliasing in Image Sequences Using Nonlinear Factor Analysis
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    Chapter 61 Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blind Source Separation: Application to Real PET Images
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    Chapter 62 Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data
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    Chapter 63 The Use of Linear Feature Projection for Precipitation Classification Using Measurements from Commercial Microwave Links
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    Chapter 64 Bayesian Inference of Latent Causes in Gene Regulatory Dynamics
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    Chapter 65 Bayesian Fuzzy Clustering of Colored Graphs
Attention for Chapter 48: Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation
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Chapter title
Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation
Chapter number 48
Book title
Latent Variable Analysis and Signal Separation
Published by
Springer, Berlin, Heidelberg, March 2012
DOI 10.1007/978-3-642-28551-6_48
Book ISBNs
978-3-64-228550-9, 978-3-64-228551-6
Authors

Kohei Nagira, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Neuroscience 1 50%