A fast reduced-rank sound zone control algorithm using the conjugate gradient method

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Abstract

Sound zone control enables different users to enjoy different audio
contents in the same acoustic environment. Generalized eigenvalue
decomposition (GEVD)-based methods allow us to control the tradeoff between the acoustic contrast (AC) and signal distortion (SD).
However, such methods have a high computational complexity. In
this paper, we propose a fast reduced-rank sound zone control algorithm using the conjugate gradient (CG) method. Instead of using the
eigenvectors as the basis for the solution space, the search directions
in the CG method are used to reduce the computational complexity.
Then, a low dimensional EVD is applied to obtain the sub-optimal
control filter coefficients. The dark zone power can be adjusted by
a parameter, which implicitly controls the trade-off between the AC
and SD. Compared with GEVD-based methods, experimental results
show that the proposed algorithm has a degradation of performance
(4–5 dB) in terms of AC or SD but a high improvement on computational efficiency.
Index Terms— Computational complexity, conjugate gradient,
reduced-rank, sound zone control, variable span trade-off filter
Original languageEnglish
Title of host publicationInternational Conference on Acoustics, Speech, and Signal Processing
Number of pages5
PublisherIEEE
Publication date14 May 2020
Publication statusPublished - 14 May 2020
EventICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Barcelona, Spain
Duration: 4 May 20208 May 2020

Conference

ConferenceICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
CountrySpain
CityBarcelona
Period04/05/202008/05/2020

Keywords

  • computational complexity
  • conjugate gradient
  • Reduced-rank
  • sound zone control
  • variable span trade-off filter

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