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Kurt Bryan

Rose Hulman Institute of Technology



Making Do With Less: The Mathematics of Compressed Sensing



March 8, 2018
4:00pm    PGH 646



Abstract
 

Suppose a bag contains 100 marbles, each with mass 10 grams, except for one defective off-mass marble. Given an accurate electronic balance that can accommodate anywhere from one to 100 marbles at a time, how would you find the defective marble with the fewest number of weighings? You may well have thought about this kind of problem before and know the answer. But what if there are two bad marbles, each of unknown mass? Or three or more? An efficient scheme isn't so easy to figure out now, is it? Is there a strategy that's both efficient and generalizable?

The answer is "yes," at least if the number of defective marbles is sufficiently small. Surprisingly, the procedure involves a strong dose of randomness. It's a nice example of a new and very active research area called "compressed sensing" (CS), that spans mathematics, signal processing, statistics, and computer science, and has many surprising applications. In this talk I'll explain the central ideas, which require nothing more than straightforward linear algebra and a bit of probability. I'll then show some applications, including how one can use this to build a high-resolution one-pixel camera!

Pizza will be served.






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