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[Yu Hen Hu]

Submitted by Yu Hen Hu  (hu at engr.wisc.edu)
Please forgive me if you receive multiple copies of this posting.

   ********************************************************************
   *           LAST CALL FOR PAPERS  DEADLINE 12/1/96                 *
   *                                                                  *
   *    A Special Issue of IEEE Transactions on Signal Processing:    *
   *       Applications of Neural Networks to Signal Processing       *
   *                                                                  *
   ********************************************************************
                                                                     
     Expected Publication Date:       November 1997 Issue                  
***  Submission Deadline:             December 1, 1996                ***
                                                                     
     Guest Editors: A. G. Constantinides, Simon Haykin, Yu Hen Hu,   
     Jenq-Neng Hwang, Shigeru Katagiri, Sun-Yuan Kung, T. A. Poggio 

Significant progress has been made applying artificial neural network (ANN) 
techniques to signal processing. From a signal processing perspective, 
it is imperative to understand how the neural network based algorithms are 
related to more conventional approaches in terms of performance, cost, and 
practical implementation issues.  Questions like these demand honest, 
pragmatic, innovative, and imaginative answers.

This special issue offers a unique forum for researchers and practitioners 
in this field to present their view on these important questions. We seek 
highest quality manuscripts which focus on the signal processing aspects of 
a neural network based algorithm, applications or implementation. Topics of 
interests include, but are not limited to:
  
 Neural network based signal detection, classification, and understanding
  algorithms.
 
 Nonlinear system identification, signal prediction, modeling, 
  adaptive filtering, and neural network learning algorithms.

 Neural network applications to biomedical signal processing, including
  medical imaging, Electrocardiogram, EEG, and related topics.
  
 Signal processing algorithms for biological neural system modeling
  
 Comparison of neural network based approach with conventional signal
  processing algorithms for solving real world signal processing tasks.

 Real world signal processing applications based on neural networks.
   
 Fast and parallel algorithms for efficient implementation of 
  neural networks based signal processing systems. 

Prospective authors are encouraged to SUBMIT MANUSCRIPTS BY DECEMBER 1, 1996 to:

Professor Yu-Hen Hu                            E-mail:     hu at engr.wisc.edu  
Univ. of Wisconsin - Madison,                  Phone: (608) 262-6724 
Dept. of Electrical and Computer Engineering   Fax: (608) 262-1267 
1415 Engineering Drive 
Madison, WI 53706-1691  
U.S.A.
  
On the  cover letter, indicate the manuscript is submitted to the special 
issue on neural network for signal processing .  All manuscripts should 
conform to the submission guideline detailed in the "information for authors" 
printed in each issue of the IEEE Transactions on Signal Processing. 
Specifically, the length of each manuscript should not exceed 30 
double-spaced pages. 

SCHEDULE
  
Manuscript received by:                 December 1, 1996 
Completion of initial review:           March 31, 1997 
Final manuscript received by :          June 30, 1997 
Expected publication date:              November, 1997  

DISTINGUISHED GUEST EDITORS

Prof. A. G. Constantinides, Imperial College, UK, a.constantinides at romeo.ic.ac.uk
Prof. Simon Haykin, McMaster University, Canada, haykin at synapse.crl.mcmaster.ca 
Prof. Yu Hen Hu, Univ. of Wisconsin, U.S.A., hu at engr.wisc.edu 
Prof. Jenq-Neng Hwang, University of Washington, U.S.A., hwang at ee.washington.edu 
Dr. Shigeru Katagiri, ATR, JAPAN, katagiri at hip.atr.co.jp
Prof. Sun-Yuan Kung, Princeton  University, U.S.A., kung at princeton.edu 
Prof. T. A. Poggio, Massachusetts Inst. of Tech., U.S.A., tp-temp at ai.mit.edu