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UID:20200328T150822EDT-5853284513@www.amherst.edu/node/724758
DTSTAMP:20200328T190822Z
CATEGORIES:Amherst Event
DESCRIPTION:Abstract: The area of inverse problems can be thought of as the
<\;i>\;Jeopardy!<\;/i>\; of mathematical research. Instead of try
ing to find solutions to complicated equations\, the theory of inverse pro
blems attempts to do the opposite: Given solutions to equations\, what are
the equations themselves? Just as many questions have the same answer\, i
t is true that many different equations have the same solution\, making in
verse problems extremely challenging to solve. In this talk I’ll describe
the inverse problem of sampling continuous signals\, and how to guarantee
a perfect reconstruction by preventing the occurrence of “alias” signals.
DTSTART:20181024T203000Z
DTEND:20181024T213000Z
LOCATION:Seeley G. Mudd Building\, 206
SUMMARY:Christina Frederick on 'Aliasing in Sampling Theory and Application
s'
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