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<p class=MsoNormal align=center style='margin-bottom:10.0pt;text-align:center'><b><span
style='font-family:"Calibri","sans-serif"'>Title: The D-SNR Performance of
Joint Source-Channel Coded Systems and Its Applications<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='margin-bottom:10.0pt;text-align:center'><span
style='font-family:"Calibri","sans-serif"'>Professor Andres Kwasinski,
Rochester Institute of Technology</span><o:p></o:p></p>
<p class=MsoNormal align=center style='margin-bottom:10.0pt;text-align:center'><span
style='font-family:"Calibri","sans-serif"'>E223 Friday March 19th from 2-3pm</span><o:p></o:p></p>
<p class=MsoNormal align=center style='margin-bottom:10.0pt;text-align:center'><o:p> </o:p></p>
<p class=MsoNormal style='margin-bottom:10.0pt'><span style='font-family:"Calibri","sans-serif"'>Abstract:</span><o:p></o:p></p>
<p class=MsoNormal style='margin-bottom:10.0pt'><span style='font-family:"Calibri","sans-serif"'>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.</span><o:p></o:p></p>
<p class=MsoNormal style='margin-bottom:10.0pt'><span style='font-family:"Calibri","sans-serif"'>Bio:
</span><o:p></o:p></p>
<p class=MsoNormal style='margin-bottom:10.0pt'><span style='font-family:"Calibri","sans-serif"'>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.</span><o:p></o:p></p>
<p> <o:p></o:p></p>
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