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SUMMARY:Complex factor analysis and extensions
DTSTART:20180201T141500
DTSTAMP:20260428T152743Z
UID:8686e7ed717dbfab840be4d34d7165ecf9102f26cffd60f9d5c2ffad
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Alle-Jan van der Veen\, Fac. EEMCS\, TU Delft\nMany subs
 pace-based array signal processing algorithms assume that the noise is spa
 tially white. In this case the noise covariance matrix is a multiple of th
 e identity and the eigenvectors of the data covariance matrix are not affe
 cted by the noise. If the noise covariance is an unknown arbitrary diagona
 l (e.g.\, for an uncalibrated array)\, the eigenvalue decomposition leads 
 to biased results and it has to be replaced by a more general “Factor An
 alysis” decomposition\, which then reveals all relevant information.\n\n
 In this talk we consider this data model and several extensions where the 
 noise covariance matrix has a more general structure\, such as banded\, sp
 arse\, block-diagonal\, and cases where we have multiple data covariance m
 atrices that share the same noise covariance matrix.  We discuss new esti
 mation algorithms that have much faster numerical convergence and lower co
 mplexity compared to existing algorithms for factor analysis.  Several ex
 amples to radio astronomy calibration and interference cancellation will b
 e presented.\n\nBio:\nAlle-Jan van der Veen is a Full Professor in Signal 
 Processing at TU Delft\, The Netherlands\, and Fellow of the IEEE and of E
 URASIP.  He was chairman of the IEEE SPS Signal Processing for Communicat
 ions Technical Committee\, Editor-in-Chief of IEEE Signal Processing Lette
 rs\, Editor-in-Chief of IEEE Transactions on Signal Processing\, and Chair
 man of the IEEE SPS Fellow Reference Committee.  \n\nAt present\, he is c
 hairman of the IEEE SPS Signal Processing Methods and Techniques Technical
  Committee\, chairman of the IEEE Kilby Medal selection committee\, and Di
 rector of Publications of EURASIP.  His research interests are in the gen
 eral area of system theory applied to signal processing\, and in particula
 r algebraic methods for array signal processing\, with applications to wir
 eless communications and radio astronomy.
LOCATION:BC 410 https://plan.epfl.ch/?room==BC%20410
STATUS:CONFIRMED
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