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Echo canceler algorithm for adaptive Volterra filters in double talk states
Author(s) -
Takeichi Kaichiro,
Furukawa Toshihiro,
Mimura Masayoshi,
Yoshimoto Sadanobu
Publication year - 2007
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.20369
Subject(s) - echo (communications protocol) , orthogonalization , adaptive filter , convergence (economics) , algorithm , path (computing) , nonlinear system , signal (programming language) , computer science , least mean squares filter , adaptive algorithm , control theory (sociology) , mathematics , speech recognition , physics , artificial intelligence , computer network , control (management) , quantum mechanics , economics , programming language , economic growth
In an acoustic echo canceler, it is necessary to consider the nonlinearity of an echo path in order to attenuate an echo signal conventionally, and various methods using adaptive Volterra filters have been proposed. Many of those methods have not resulted in a decisive solution about the double talk states in a nonlinear acoustic echo canceler. In this paper, we propose an echo canceler algorithm for adaptive Volterra filters using the idea of the OECLMS (Orthogonal Expanded Correlation Least Mean Squares) algorithm in consideration of the double talk problem. The convergence speed of the proposed method is improved by using Gram‐Schmidt orthogonalization for the input signal. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 161(2): 42– 51, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20369