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DTSTART:20180311T070000
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DTSTART:20171105T060000
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UID:event.724758.www.amherst.edu
DTSTART;TZID=America/New_York:20181024T163000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/New_York:20181024T173000
LOCATION:Seeley G. Mudd Building\, 206
SUMMARY:Christina Frederick on \"Aliasing in Sampling Theory and Applicatio
ns\"
CLASS:PUBLIC
DESCRIPTION:Abstract: The area of inverse problems can be thought of as the
\n_Jeopardy!_ of mathematical research. Instead of trying to find\nsolutio
ns to complicated equations\, the theory of inverse problems\nattempts to
do the opposite: Given solutions to equations\, what are\nthe equations th
emselves? Just as many questions have the same answer\,\nit is true that m
any different equations have the same solution\,\nmaking inverse problems
extremely challenging to solve. In this talk\nI’ll describe the inverse
problem of sampling continuous signals\,\nand how to guarantee a perfect r
econstruction by preventing the\noccurrence of “alias” signals.\n
DTSTAMP:20240520T091204Z
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