Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
CHANNEL OPTIMIZED QUANTIZATION OF IMAGES OVER BINARY CHANNELS WITH MEMORY
 

Summary: CHANNEL OPTIMIZED QUANTIZATION OF IMAGES OVER
BINARY CHANNELS WITH MEMORY
by
Julian Cheng
A thesis submitted to the
Department of Mathematics and Statistics
in conformity with the requirements
for the degree of Master of Science (Engineering)
Queen's University
Kingston, Ontario, Canada
September 1997
Copyright c
fl Julian Cheng, 1997

Abstract
In response to the growing demand for mobile digital personal communication ser­
vices, future wireless products will provide multimedia information transmission. In
such applications voice, text, image and video data need to be reliably and efficiently
transmitted over wireless communication channels. These channels are typically very
noisy (high BER) and often exhibit memory. Based on Shannon's separation prin­

  

Source: Alajaji, Fady - Department of Mathematics and Statistics, Queen's University (Kingston)
Linder, Tamás - Department of Mathematics and Statistics, Queen's University (Kingston)

 

Collections: Engineering