[CCoE Notice] Seminar announcement

[Lewis, Lindsay R]

Title: The D-SNR Performance of Joint Source-Channel Coded Systems and
Its Applications

Professor Andres Kwasinski, Rochester Institute of Technology

E223 Friday March 19th from 2-3pm

 

Abstract:

The study of Joint Source-Channel Coding (JSCC) systems faces one major
challenge in obtaining an analytical expression for the function that
links end-to-end distortion with channel signal-to-noise ratio, the
D-SNR curve. A simple solution is to assume that the source is encoded
optimally and transmitted at a rate equal to the channel capacity. Other
approaches rely on bounds developed by resorting to high and low SNR
approximations and asymptotically large source code dimension with
infinite complexity and delay. Unfortunately, these approaches do not
easily lend themselves well for applications of multimedia wireless
communications subject to strict delay constraints. In this talk, we
will discuss the properties of the D-SNR curve for multimedia systems
using practical source and channel codecs. We will see that these
properties can be used to obtain a simple closed-form expression for the
D-SNR curve. This result will be applied to study issues arising from
using practical source and channel codes, including the effects on
performance of channel codes of different strength or source codes with
different compression efficiency. In addition, the expression for the
D-SNR curve will be used to study the performance of some cross-layer
systems, such as those involving the use of user cooperation.

Bio:  

Andres Kwasinski received in 1992 his diploma in Electrical Engineering
from the Buenos Aires Institute of Technology, Buenos Aires, Argentina,
and the M.S. and Ph.D. degrees in Electrical and Computer Engineering
from the University of Maryland, College Park, Maryland, in 2000 and
2004, respectively. He is currently an Assistant Professor at the
Department of Computer Engineering, Rochester Institute of Technology,
Rochester, New York. Prior to this he was with Texas Instruments Inc.,
the Department of Electrical and Computer Engineering at the University
of Maryland, and Lucent Technologies. His research interests are in the
area of multimedia wireless communications and networking, cross layer
designs, multiple access to wireless networks, user cooperative
communications, digital signal processing and speech, image and video
processing for signal compression and communication.

 

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