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Signal transmission: probabilistic challenges
Applied Math| Speaker: | Roman Vershynin, UC Davis |
| Location: | 693 Kerr |
| Start time: | Fri, Oct 10 2003, 4:10PM |
Description
Parallel to the development of wavelets and connected with it,
there has arisen a simple idea in signal transmission
to represent signals by their "Fourier" coefficients
with respect to a redundant system of vectors (not orthogonal).
The idea is that even if some (random) coefficients are lost on their
way to the user, the signal can still be recovered from whatever
received thanks to the redundancy in the coefficients.
The hard question is -- how many random coefficients have to be received
for successful recovery of the signal? This problem quickly
reduced to a simple probabilistic claim, which is hard to prove though.
Unexpectedly, a sharp approach is possible through the non-commutative
operator theory. This method was suggested by Pisier developed by
Rudelson and later by the PI and Rudelson.
