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Advanced Digital Signal Processing

PhD-course "Advanced Digital Signal Processing"

	JUNE 10-14, 2002 
        Informatics and Mathematical Modelling
        Build 321 Technical University of Denmark

        This year the course will 
        focus on Independent Component Analysis 


Aim: 

To provide the participants with operational experience in
applications of independent component analysis (ICA) by 
introducing the basic probabilistic concepts, applications 
examples (e.g. from participants' own research) and a 
selection of state-of-the-art algorithms.  

Contents: 

        Background, motivation and examples of applications of ICA. 
        The probabilistic framework: likelihoods and the EM algorithm
        Gaussian models: factor analysis, probabilistic PCA.
        Temporal ICA: the Molgedey-Schuster algorithm
        Maximum likelihood ICA: the Bell and Sejnowski algorithm
        Bayesian ICA: Variational and advanced mean field algorithms
        Applications: Images, text, speech, neuroimages.


Lectures: Lars Kai Hansen and Ole Winther
Matlab exercises: Thomas Kolenda, Lars Kai Hansen and Ole Winther

Type: 
   course at phd level, open university
Class schedule: 
  10-14. of June (morning lectures / afternoon exercises)
Scope and form:  
  Lectures, exercises (Matlab), short presentations by
  participants.
Evaluation:  
  Project report 
Examination:  
  Pass/fail

Registration

Ms Ulla Noerhave
Informatics and Mathematical Modelling 
Technical University of Denmark 
un@imm.dtu.dk

=====================================================================
Further information
Ole Winther
Associate Professor, Digital Signal Processing
Informatics and Mathematical Modelling (IMM)
Technical University of Denmark (DTU)   http://www.imm.dtu.dk   
Tel: +45 4525 3895      Homepage: http://eivind.imm.dtu.dk/staff/winther/

	

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