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- AI-NN-PR
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- Update:
- 2012-11-26
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- ziuguang
Description: This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective
channel estimation. We develop a new method for multiple variable regression estimation based on Sup-
port Vector Machines, a state-of-the-art technique within the machine learning community for regression
estimation. We show how this new method, that we call M-SVR, can be effi ciently solved. The pro-
posed regression method is evaluated in a MIMO system under a channel estimation scenario, showing
its benefi ts in comparison to previous proposals when non linearities are present in either the transmitter
or the receiver sides of the MIMO system.
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