Measurements Vs. Bits: Compressed Sensors And Info Theory


Measurements Vs. Bits: Compressed Sensors And Info Theory


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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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