Measurements vs. Bits: Compressed Sensors and Info Theory

October 18, 2006 lecture by Dror Baron for the Stanford University Computer Systems Colloquium (EE 380).

Dror Baron discusses the numerous rich insights information theory has to offer Compressed Sensing (CS), an emerging field based on the revelation that optimization routines can reconstruct a sparse signal from a small number of linear projects of the signal.

EE 380 | Computer Systems Colloquium:
http://www.stanford.edu/class/ee380/

Stanford Computer Systems Laboratory:
http://csl.stanford.edu/

Stanford Center for Professional Development:
http://scpd.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanforduniversity/

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[grunder20]

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[agapitoflores001]

I wonder what background does Dror Baron has..

[roonghuatgmaildotcom]

The reason why intermediate-frequency direct sampling is valid in radar and communication system was interpreted as the fact that the "effective bandwidth" are actually much smaller than the actual bandwidth (carrier & baseband together), in conventional information theory.