Date:     Apr. 29, 3:30 pm in 4610 Engineering Hall

Title:    Joint Source-Channel Matching for Wireless
          Image and Video Transmission

Speaker:  Douglas L. Jones
          Coordinated Science Laboratory
          University of Illinois

Abstract:

Recent research has demonstrated tremendous benefits in overall
system performance from joint source-channel optimization for
image and video transmission.
However, application of joint source-channel matching
in heterogeneous multi-media environments will demand general
source-channel optimization schemes suitable for a wide
variety of source coding standards, channel coders, and
variable channel conditions.
We develop a general approach for joint source-channel matching,
based on a parametric distortion model, that can be easily applied
to most classes of source and channel coders.
Initial studies suggest that it may be possible to obtain nearly
all of the benefits of joint source-channel optimization by
matching existing source and channel coding standards using
this simple and general approach.