Presentation | 2008-05-23 Proposal of a nonlinear echo canceller that uses Gaussian process Junichiro TOMITA, Yuzo HIRAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Gaussian process (GP) is a process where the joint distribution over variables is specified completely by the second-order statistics, namely the mean and the covariance. Because the output data is estimated by a training data set and a test data set, it is though that the influence on the convergence characteristic is small. In this paper, we confirm that both of linear echo-path and nonlinear echo-path follow Gaussian distributions. Furthermore, we propose a nonlinear echo-canceller that uses Gaussian process, and analyze the convergence characteristic of ERLE for stationary colored signal to ensure that Gaussian process can cancel the echo. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Gaussian Process / Nonlinearity / Convergence / Mean function / Covariance function |
Paper # | NC2008-7 |
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Committee | NC |
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Conference Date | 2008/5/16(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Proposal of a nonlinear echo canceller that uses Gaussian process |
Sub Title (in English) | |
Keyword(1) | Gaussian Process |
Keyword(2) | Nonlinearity |
Keyword(3) | Convergence |
Keyword(4) | Mean function |
Keyword(5) | Covariance function |
1st Author's Name | Junichiro TOMITA |
1st Author's Affiliation | University of Tsukuba, Graduate School of Systems and Infomation Engineering() |
2nd Author's Name | Yuzo HIRAI |
2nd Author's Affiliation | University of Tsukuba, Graduate School of Systems and Infomation Engineering |
Date | 2008-05-23 |
Paper # | NC2008-7 |
Volume (vol) | vol.108 |
Number (no) | 54 |
Page | pp.pp.- |
#Pages | 6 |
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