Oh snap! Lecture videos might not load due to connection issues to source servers. Sorry for inconvenience.

Lec 3 - Measurements vs. Bits: Compressed Sensors and Info Theory

"Lec 3 - 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/

Video is embedded from external source so download is not available.

Here is the next lecture for this course

No content is added to this lecture.

Go to course:

This video is a part of a lecture series from of stanford

Dnatube: Sciencific and Medical video site.