The Journal of the Acoustical Society of Korea

The Acoustical Society of Korea (한국음향학회)
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A Channel Equalization Algorithm Using Neural Network Based Data Least Squares

뉴럴네트웍에 기반한 Data Least Squares를 사용한 채널 등화기 알고리즘

  • Published : 2007.06.30
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Abstract

Using the neural network model for oriented principal component analysis (OPCA), we propose a solution to the data least squares (DLS) problem, in which the error is assumed to lie in the data matrix only. In this paper, we applied this neural network model to channel equalization. Simulations show that the neural network based DLS outperforms ordinary least squares in channel equalization problems.

Keywords

References

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