Linear State-Space Models for Blind Source Separation

No abstract is available for this paper.

• Publication year

  2006

• Venue

  Journal of machine learning research

• Publication date

  2006-12-01

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.5555/1248547.1248639
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• State-Space Models: From the EM Algorithm to a Gradient Approach

  2007cited by this paper
• Blind Separation of More Sources than Sensors in Convolutive Mixtures

  2006cited by this paper
• CICAAR: Convolutive ICA with an Auto-regressive Inverse Model

  2004cited by this paper
• A Harmonic Excitation State-Space Approach to Blind Separation of Speech

  2004influential reference
• Adaptive Overrelaxed Bound Optimization Methods

  2003cited by this paper
• Optimization with EM and Expectation-Conjugate-Gradient

  2003cited by this paper
• Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging

  2002cited by this paper
• Mean-Field Approaches to Independent Component Analysis

  2002cited by this paper
• UCMINF - an Algorithm for Unconstrained, Nonlinear Optimization

  2000cited by this paper
• Amplitude Modulation Decorrelation For Convolutive Blind Source Separation

  2000cited by this paper
• Convolutive blind separation of non-stationary sources

  2000influential reference
• A Unifying Review of Linear Gaussian Models

  1999influential reference
• Approximate likelihood for noisy mixtures

  1999cited by this paper
• On the use of explicit speech modeling in microphone array applications

  1998cited by this paper
• Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models

  1997cited by this paper
• Multichannel signal separation: methods and analysis

  1996cited by this paper
• Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA

  1996cited by this paper
• Blind Separation of Delayed and Convolved Sources

  1996cited by this paper
• A Context-Sensitive Generalization of ICA

  1996influential reference
• An Information-Maximization Approach to Blind Separation and Blind Deconvolution

  1995cited by this paper
• Blind beamforming for non-gaussian signals

  1993cited by this paper
• Multi-channel signal separation by decorrelation

  1993influential reference
• Speech analysis/Synthesis based on a sinusoidal representation

  1986cited by this paper
• AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM

  1982cited by this paper
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

  1977cited by this paper
• Image method for efficiently simulating small‐room acoustics

  1976cited by this paper
• On the maximum likelihood estimates for linear dynamic systems

  1965cited by this paper
• New Results in Linear Filtering and Prediction Theory

  1961cited by this paper
• A Stochastic Approximation Method

  1951cited by this paper

• Bayesian Structure Learning for Dynamic Brain Connectivity

  2018cites this paper
• Efficient Data Augmentation Techniques for Some Classes of State Space Models

  2017cites this paper
• Gaussian process based independent analysis for temporal source separation in fMRI

  2017cites this paper
• Algorithms for Source Separation - with Cocktail Party Applications

  2016cites this paper
• INTEGRATION OF SINGLE EXPONENTIAL SMOOTHING WITH STATE SPACE FORMULATION

  2016cites this paper
• High resolution NMF for modeling mixtures of non-stationary signals in the time-frequency domain

  2013cites this paper
• High resolution NMF for modeling mixtures of non-stationary signals in the time-frequency domain

  2012cites this paper
• Processus gaussiens pour la séparation de sources et le codage informé

  2012cites this paper
• Generalization error bounds for stationary autoregressive models

  2011cites this paper
• Independent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (SpO2) - a comparative study

  2009cites this paper
• A3: HCI Coding Guideline for Research Using Video Annotation to Assess Behavior of Nonverbal Subjects with Computer-Based Intervention

  2009cites this paper
• Removal of Artifacts in Electroencephalogram Using Adaptive Infomax Algorithm of Blind Source Separation

  2008cites this paper
• Algorithms for Source Separation - with Cocktail Party Applications

  2007influential citation