Normalization Method of Gradient Vector in Frequency Domain Steepest Descent Type Adaptive Algorithm
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概要
- 論文の詳細を見る
In this paper, we propose a normalization method dividing the gradient vector by the sum of the diagonal and two adjoining elements of the matrix expressing the correlation between the components of the discrete Fourier transform (DFT) of the reference signal used for the identification of unknown system. The proposed method can thereby improve the estimation speed of coefficients of adaptive filter.
- The Institute of Electronics, Information and Communication Engineersの論文
著者
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Fujii Kensaku
Graduate School Of Engineering University Of Hyogo
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Morimoto Masakazu
Graduate School Of Biological Sciences Nara Institute Of Science And Technology
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IWAMATSU Yusuke
Graduate School of Engineering, University of Hyogo
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MUNEYASU Mitsuji
Faculty of Engineering and Science, Kansai University
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KUWAHARA Yusuke
Graduate School of Engineering, University of Hyogo
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- Normalization Method of Gradient Vector in Frequency Domain Steepest Descent Type Adaptive Algorithm