文件名称:SVM-Multiregression
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 118kb
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- 1次
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- l**
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SVM Multiregression for Non Linear
Channel Estimation in Multiple-Input
Multiple-Output Systems
在多输入多输出系统中的SVM多元回归非线性逼近-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.
Channel Estimation in Multiple-Input
Multiple-Output Systems
在多输入多输出系统中的SVM多元回归非线性逼近-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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SVM Multiregression for Non Linear.pdf