The Wavelet Digest Homepage
Return to the homepage
Search the complete Wavelet Digest database
Help about the Wavelet Digest mailing list
About the Wavelet Digest
The Digest The Community
 Latest Issue  Back Issues  Events  Gallery
The Wavelet Digest
   -> Volume 5, Issue 5


CFP: Special Issue of IEEE Transactions on Signal Processing
 
images/spacer.gifimages/spacer.gif Reply into Digest
Previous :: Next  
Author Message
Yu Hu (hu@eceserv0.ece.wisc.edu)
Guest





PostPosted: Thu Jan 01, 1970 12:59 am    
Subject: CFP: Special Issue of IEEE Transactions on Signal Processing
Reply with quote

CFP: Special Issue of IEEE Transactions on Signal Processing

CALL FOR PAPERS

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@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@romeo.ic.ac.uk Prof. Simon Haykin, McMaster
University, Canada, haykin@synapse.crl.mcmaster.ca Prof. Yu Hen Hu,
Univ. of Wisconsin, U.S.A., hu@engr.wisc.edu Prof. Jenq-Neng Hwang,
University of Washington, U.S.A., hwang@ee.washington.edu Dr. Shigeru
Katagiri, ATR, JAPAN, katagiri@hip.atr.co.jp Prof. Sun-Yuan Kung,
Princeton University, U.S.A., kung@princeton.edu Prof. T. A. Poggio,
Massachusetts Inst. of Tech., U.S.A., tp-temp@ai.mit.edu
All times are GMT + 1 Hour
Page 1 of 1

 
Jump to: 
 


disclaimer - webmaster@wavelet.org
Powered by phpBB

This page was created in 0.027989 seconds : 18 queries executed : GZIP compression disabled