Measurements vs. Bits: Compressed Sensors and Info Theory 
Measurements vs. Bits: Compressed Sensors and Info Theory
by Stanford
Video Lecture 3 of 27
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Views: 1,439
Date Added: August 27, 2009

Lecture Description


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.

Course Index

Course Description


In this course, Stanford University gives 27 video lectures on the Computer Systems Laboratory Colloquium. This course features weekly speakers on current research and developments in computer systems. Topics touch upon all aspects of computer science and engineering including logic design, computer organization and architecture, software engineering, computer applications, public policy, and the social, business, and financial implications of technology. Frequently the Colloquium provides the first public forum for discussion of new products, discoveries, or ideas. This playlist consists of seminar speakers recorded during the 2006-2007 academic year.



The original name of this course is: Computer Systems Laboratory Colloquium (2006-2007).

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