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Optimization of the Window Function in an Adaptive Noise Canceller

Yusuke MATSUBARA, Naohiro TODA

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Summary :

Adaptive noise cancellation using adaptive filters is a known method for removing noise that interferes with signal measurements. The adaptive noise canceller performs filtering based on the current situation through a windowing process. The shape of the window function determines the tracking performance of the adaptive noise canceller with respect to the fluctuation of the property of the unknown system that noise (reference signal) passes. However, the shape of the window function in the field of adaptive filtering has not yet been considered in detail. This study mathematically treats the effect of the window function on the adaptive noise canceller and proposes an optimization method for the window function in situations where offline processing can be performed, such as biomedical signal measurements. We also demonstrate the validity of the optimized window function through numerical experiments.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.11 pp.1854-1860
Publication Date
2018/11/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E101.A.1854
Type of Manuscript
PAPER
Category
Digital Signal Processing

Authors

Yusuke MATSUBARA
  Aichi Prefectural University
Naohiro TODA
  Aichi Prefectural University

Keyword