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SUMMARY:Sampling using Unsynchronized Time Encoding Machines
DTSTART:20180828T090000
DTEND:20180828T110000
DTSTAMP:20260406T214407Z
UID:baa0451016dc04f9074703d3d9e5fdf1e8e90dafe54e691695279eac
CATEGORIES:Conferences - Seminars
DESCRIPTION:Karen Adam\nEDIC candidacy exam\nExam president: Prof. Michael
  Unser\nThesis advisor: Prof. Martin Vetterli\nCo-examiner: Prof. Michael 
 Gastpar\n\nAbstract\nSampling classically involves recording signal amplit
 udes at specified times\, and signal recovery in such sampling schemes\, w
 hich we call amplitude encoding\, has been studied extensively . In this p
 roposal\, we investigate an alternate sampling scheme called time encoding
 \, where a signal is only encoded by a sequence of time points which depen
 d on the signal integral over time\, and examine the conditions on perfect
  recovery of the signal given this sequence. We build up the mathematical 
 background required to study this setup\, review existing work on time enc
 oding\, and then attempt to bridge a relationship with biological neuron b
 ehavior to see if time encoding can give insight on topics in biology such
  as perception. In proposing a direction for future work\, we examine the 
 use of multiple unsynchronized time encoding machines and highlight some a
 dvantages of this setup over having multiple amplitude encoders in paralle
 l.\n\nBackground papers\nTheory and Practice of Irregular Sampling (Part I
  only)\, by Feichtinger\, H.G.\, Gröchening\, K.\nPerfect Recovery and Se
 nsitivity Analysis of Time Encoded Bandlimited Signals\, by  Lazar\, A.\,
   Tóth\, T. \nA Review of the Integrate-and-Fire Neuron Model: I. Homog
 eneous Synaptic Input\, by Burkitt\, A.N.\n 
LOCATION:BC 329 https://plan.epfl.ch/?room==BC%20329
STATUS:CONFIRMED
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