New publications on blind signal processing

[cia@kamo.riken.go.jp]

Dear Colleagues:

Below please find a list of papers devoted to blind separation 
of sources presented at NOLTA-95 and NIPS .

Some of these papers are available on the web site:

http://www.bip.riken.go.jp/absl/absl.html 

I am preparing now extensive list of publications, reports and programs 
about  blind signal processing (blind deconvolution, equalization, separation 
of sources, cocktail party-problem, blind identification and blind medium 
structure identification). 
Any information about new publications on these subjects are welcomed.

Comments on our paper are also welcomed.

Andrew Cichocki
 
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Dr. A. Cichocki, 
Laboratory for Artificial Brain Systems,
Frontier Research Program RIKEN,
Institute of Physical and Chemical Research,
Hirosawa 2-1, Saitama 351-01,
WAKO-Schi, JAPAN
E-mail: cia at kamo.riken.go.jp,
URL: http://www.bip.riken.go.jp/absl/absl.html
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List of papers of Special Invited Session

BLIND SEPARATION OF SOURCES- Information Processing in the Brain,

 NOLTA-95 , Las Vegas, USA, December 10-14, 1995.

(Chair and organizer A. Cichocki)

Proceedings 1995 International Symposium on Nonlinear Theory and 
Applications Vol.1:

1. Shun-ichi AMARI, Andrzej CICHOCKI and Howard Hua YANG,

  "RECURRENT NEURAL NETWORKS FOR BLIND SEPARATION OF SOURCES",
    pp.37-42.

2. Anthony J. BELL and Terrence J. SEJNOWSKI,

  "FAST BLIND SEPARATION BASED ON INFORMATION THEORY",
   pp. 43-47.

3. Adel BELOUCHRANI and Jean-Francois CARDOSO,
 
 "MAXIMUM LIKELIHOOD SOURCE SEPARATION BY THE  EXPECTATION-MAXIMIZATION
  TECHNIQUE: DETERMINISTIC AND STOCHASTIC IMPLEMENTATION",
   pp.49-53.

4. Jean-Francois CARDOSO,

  "THE INVARIANT APPROACH TO SOURCE SEPARATION",
   pp. 55-60.


5. Andrzej CICHOCKI, Wlodzimierz KASPRZAK and Shun-ichi AMARI,

 "MULTI-LAYER NEURAL NETWORKS WITH LOCAL ADAPTIVE LEARNING RULES 
  FOR BLIND SEPARATION OF SOURCE SIGNALS",
  pp.61-65.

6. Yannick DEVILLE and Laurence ANDRY,

 "APPLICATION OF BLIND SOURCE SEPARATION TECHNIQUES TO MULTI-TAG 
  CONTACTLESS IDENTIFICATION SYSTEMS",
  pp. 73-78.

7. Jie HUANG , Noboru OHNISHI and Naboru SUGIE

   "SOUND SEPARATION BASED ON PERCEPTUAL GROUPING OF SOUND SEGMENTS",
   pp.67-72.

8. Christian JUTTEN and Jean-Francois CARDOSO,

  "SEPARATION OF SOURCES: REALLY BLIND ?"
   pp. 79-84.

9.  Kiyotoshi MATSUOKA and Mitsuru KAWAMOTO, 

  "BLIND SIGNAL SEPARATION BASED ON A MUTUAL INFORMATION CRITERION",
  pp. 85-91.

10. Lieven De LATHAUWER, Pierre COMON, Bart De MOOR and Joos VANDEWALLE,

   "HIGHER-ORDER POWER METHOD - APPLICATION IN INDEPENDENT COMPONENT
    ANALYSIS", pp. 91-96.

11.  Jie ZHU, Xi-Ren CAO, and  Ruey-Wen LIU,
                   
     "BLIND SOURCE SEPARATION BASED ON OUTPUT INDEPENDENCE - THEORY AND
      IMPLEMENTATION", pp. 97-102. 

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Selected list of recent publications and reports about ICA

[1] S. Amari, A. Cichocki and H. H. Yang, "A new learning algorithm for blind 
    signal separation", NIPS-95, Denver Dec. 1995, vol.8, MIT Press, 1996 
    (in print).

[2] S. Amari, A. Cichocki and H. H. Yang, "Recurrent neural networks for 
    blind separation of sources", Nolta-95 , Las Vegas, Dec.10-15, 1995, 
    vol.1, pp. 37-42.


[3] A.Cichocki and L. Moszczynski, "A new learning algorithm for for blind 
    separation of sources", Electronics Letters, vol.28, No.21,1992,
    pp.1986-1987.

[4] A. Cichocki, R. Unbehauen and E. Rummert, Robust learning algorithm for 
    blind separation of signals", Electronics Letters, vol.30, No.17, 18th
    August 1994, pp.1386-1387.

[5] A. Cichocki, R. Unbehauen, L. Moszczynski and E. Rummert, "A new on-line 
    adaptive algorithm for blind separation of source signals", 1994 Int. 
    Symposium on Artificial Neural Networks ISANN-94, Tainan, Taiwan , 
    Dec.1994, pp.406-411.

[6] A. Cichocki, R. Bogner, L. Moszczynski, Improved  adaptive algorithms 
    for blind separation of sources",  Proc. of Conference on Electronic
    Circuits and Systems, KKTOiUE, Zakopane Poland, Oct. 25-27, 1995, 
    pp. 647-652.

[7] A. Cichocki, R. Unbehauen, "Robust neural networks with on-line 
    learning for blind identification and blind separation of sources", 
    submitted for publication to IEEE Transaction on Circuits and Systems
    (submitted June 1994).

[8] A.Cichocki and R. Unbehauen, Neural Networks for Optimization and 
    Signal Processing, John Wiley 1994 (new revised and improved edition),
    pp. 461-471.

[9] A. Cichocki, W. Kasprzak, S. Amari, "Multi-layer neural networks with 
    a local adaptive learning rule for blind separation of source signals", 
    Nolta-95, Las Vegas, Dec.10-15, 1995, vol.1 pp. 61-66.

[10] A. Cichocki, S. Amari, M. Adachi and W. Kasprzak, "Self-adaptive neural 
     networks for blind separation of sources", ISCAS-96 May 1996, 
     Atlanta, USA.
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