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Yu Maeno

3 accepted papers

2020

Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting

ICASSP 2020accepted

Active noise control (ANC) over a sizeable space ideally requires uniformly distributed sensors and secondary sources, which limits the feasibility of practically realizing such systems. In this paper, we propose a direction of arrival (DOA) weighting algorithm for the adaptive filter update, which…

Cited by 0SourceScholar
2019

Global and Local Mode-domain Adaptive Algorithms for Spatial Active Noise Control Using Higher-order Sources

ICASSP 2019accepted

The aim of spatial active noise control (ANC) is to attenuate noise over a certain space. Although a large-scale system is required to achieve spatial ANC, mode-domain signal processing makes it possible to reduce the computational cost and improve the performance. A higher-order source (HOS) has an…

Cited by 11SourceScholar
2018

Mode Domain Spatial Active Noise Control Using Sparse Signal Representation

ICASSP 2018accepted

Active noise control (ANC) over a sizeable space requires a large number of reference and error microphones to satisfy the spatial Nyquist sampling criterion, which limits the feasibility of practical realization of such systems. This paper proposes a mode-domain feedforward ANC method to attenuate…

Cited by 0SourceScholar