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A study on adaptive noise canceller using linear phase filter
Author(s) -
Kobayashi Masaki,
Wang Chi
Publication year - 2011
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.21116
Subject(s) - linear phase , adaptive filter , control theory (sociology) , noise (video) , filter (signal processing) , signal (programming language) , kernel adaptive filter , distortion (music) , linear filter , phase distortion , transfer function , computer science , white noise , nonlinear filter , filter design , all pass filter , algorithm , mathematics , low pass filter , telecommunications , engineering , high pass filter , artificial intelligence , amplifier , control (management) , bandwidth (computing) , electrical engineering , image (mathematics) , computer vision , programming language
In this paper, we propose a new adaptive noise canceller using a linear phase filter. The linear model in which an arbitrary signal is defined by the output signal of a linear system at the white signal input is used. The noise is suppressed by the estimated linear system and the signal‐to‐noise ratio is improved. At this point, to minimize the distortion of the signal due to the nonlinearity of the phase shift, the linear phase filter has been newly introduced. The transfer function of the linear system is an arbitrary minimum phase rational transfer function that has poles and zeros. It has the feature of not being specified for all pole models. The adaptive algorithm is a gradient‐based algorithm with few computational complexities. The features of the proposed adaptive noise canceller are that the inverse filter of the adaptive filter is stable, the convergence of the algorithm is guaranteed, the distortion of the signal is minimal, and there is no restriction on the transfer function of the linear system. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 178(1): 50–55, 2012; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/eej.21116