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11

CORR
2010
Springer

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Applications of Lindeberg Principle in Communications and Statistical Learning

13 years 3 months ago

Applications of Lindeberg Principle in Communications and Statistical Learning

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We use a generalization of the Lindeberg principle developed by Sourav Chatterjee to prove universality properties for various problems in communications, statistical learning and random matrix theory. We also show that these systems can be viewed as the limiting case of a properly deﬁned sparse system. The latter result is useful when the sparse systems are easier to analyze than their dense counterparts. The list of problems we consider is by no means exhaustive. We believe that the ideas can be used in many other problems relevant for information theory.

Satish Babu Korada, Andrea Montanari

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CORR 2010 | Education | Lindeberg Principle | Sourav Chatterjee | Sparse Systems |

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Added	24 Jan 2011
Updated	24 Jan 2011
Type	Journal
Year	2010
Where	CORR
Authors	Satish Babu Korada, Andrea Montanari

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