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UID:www.tcs.tifr.res.in/event/414
DTSTAMP:20230914T125923Z
SUMMARY:Signal Processing for Systems With Low Precision Quantization
DESCRIPTION:Speaker: Tapan Shah\n\nAbstract: \nAbstract: In system design\,
  digital signal processing involves operation upon and analysis of digital
  signals. The real physical signals are temporally or spatially varying ph
 ysical quantities (for example\, sound\, electromagnetic radiation\, image
 s etc.) which can take values over an infinite\, uncountable set. Digitizi
 ng physical signals is achieved in two steps sampling in the temporal or s
 patial domain followed by quantizing the samples to a finite set of values
 . For a bandlimited physical signal taking values over an infinite set\, s
 ampling\, if done over a sufficiently fine grid\, can be achieved with no 
 loss of information. However\, quantization is inherently a non-linear and
  lossy process. If the quantization precision is sufficiently large\, the 
 non-linearities can be ignored and signal processing algorithms for the sy
 stem can be designed assuming no quantization i.e. samples are represented
  by their actual values. However\, if the precision is low\, the non-linea
 rities become significant and it becomes necessary to take into account th
 ese effects while designing signal processing algorithms for such systems.
  In this thesis\, we consider two such applications which require designin
 g signal processing algorithms for low precision systems\, viz. transceive
 r design for multiGigabit communication systems and mask design in optical
  lithography.\n
URL:https://www.tcs.tifr.res.in/web/events/414
DTSTART;TZID=Asia/Kolkata:20131023T093000
DTEND;TZID=Asia/Kolkata:20131023T110000
LOCATION:AG-66 (Lecture Theatre)
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