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Optimization of the Window Function in an Adaptive Noise Canceller
Yusuke MATSUBARA Naohiro TODA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2018/11/01
Online ISSN: 1745-1337
Type of Manuscript: PAPER
Category: Digital Signal Processing
adaptive filter, RLS algorithm, time-varying system, window function, bioelectrical signal measuring,
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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.