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SUMMARY:(Skills) Introduction to Compressive Sensing: From Theory to Appli
 cations / (Skills) Best papers Lent 2010 - Wei Chen and others
DTSTART:20100308T140000Z
DTEND:20100308T150000Z
UID:TALK22538@talks.cam.ac.uk
CONTACT:Andrew Rice
DESCRIPTION:Introduction to Compressive Sensing: From Theory to Applicatio
 ns\, Wei Chen\n\nThe conventional approach to sampling signals or images\n
 follows the celebrated Shannon sampling theorem: the sampling rate must be
  at least twice the maximum frequency present in the signal (the so-called
  Nyquist rate). In fact\, this principle underlies nearly all signal acqui
 sition protocols used in consumer audio and visual electronics\, medical i
 maging devices\, radio receivers\, and so on. In the field of data convers
 ion\, for example\, standard analog-to-digital converter (ADC) technology 
 implements the usual quantized Shannon representation: the signal is unifo
 rmly sampled at or above the Nyquist rate. Compressive sensing (CS) is a n
 ovel sensing/sampling paradigm that goes against the common wisdom in data
  acquisition. The CS theory asserts that one can recover certain signals a
 nd images from far fewer samples or measurements than traditional methods 
 use. \n\nSkills: Best Papers Michaelmas 2009\n\nEach member of the group w
 ill submit an entry for the best paper they have read last term. We will h
 ave very a brief presentation on as many as we can fit in to 30 minutes.
LOCATION:SS03\, William Gates Building
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