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Research Assistantship in Signal Processing 

The Department of Electrical Engineering and Computer Science at
Lehigh University in Bethlehem, Pennsylvania wishes to announce
a limited number of research assistantships (tuition and stipend) 
available for graduate research in signal processing 
(specifically signal detection and estimation).
These highly competitive positions are for important basic research 
and may be funded for three years.  
Only highly motivated students with top grades and good mathematical skills 
should apply.  Students with electrical engineering degrees are desired 
and those with backgrounds in signal detection and estimation 
or statistical signal processing are preferred.  Students interested 
in this opportunity should a resume with references, transcripts, and a copy 
of a technical paper or report they have written to: 

             RA in Signal Processing
             Professor Blum 
             Department of Electrical Engineering and Computer Science 
             Packard Lab # 19 
             Lehigh University
             Bethlehem, PA 18015

Indicate your interest a PhD or a Masters
degree and give a brief indication of your relevant experience.

All students must go through the normal graduate admissions process. 
A student could begin study in the Spring term and 
the deadline to apply for admission for the Spring term is Nov. 15. 
An application for admissions can be obtained by writing to:
 
             Graduate Admissions Office
             Whitaker Laboratory 5
             Lehigh University
             Bethlehem, PA 18015

Indicate your interest in the Electrical Engineering and Computer Science
Department.  

A description of the research is given below. 

Brief Description of Research 

	 Distributing multiple sensors over a large area 
for the purpose of detecting a signal in noise is becoming 
increasingly attractive.  
In such cases it is generally too costly to transmit all the data
generated by each sensor to some central location for use in decision
making.  
Schemes that provide
acceptable performance while requiring only limited transmission capacity 
are of interest.
Locating a detector at each sensor and transmitting
only its decisions to a fusion center is one common approach.
The bulk of the research work concerning the design of such distributed 
detection schemes has focused on  
signal detection problems where a complete observation 
model which categorizes the environment 
under consideration is known.   
We will pursue research to investigate distributed 
detection schemes for cases where a complete observation model is 
not available due to incomplete knowledge of the operating 
environment. 
This is an extremely practical case which has applications in 
air traffic control,   
radar weather monitoring, military radar and sonar,  
and medical diagnostic systems.