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Causal MSE-Optimal Filters for Personal
Audio Subject to Constrained Contrast.
Simon Widmark
IEEE Transactions on Audio, Speech and Language Processing
, Volume 27, Issue 5, May 2019, pp. 972-987.
DOI: 10.1109/TASLP.2019.2904839
© 2019 IEEE
Paper (open access):
Pdf
- Abstract:
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A novel design method that generates causal precompensation
filters is formulated. The resulting filters are
constrained with respect to the amount of acoustic contrast they
generate and are intended to be used for personal audio. The
proposed method provides a more direct method for trading
bright zone behaviour against acoustic contrast as compared to
other causal methods available. It also provides improved control
over the temporal properties of the resulting filters as compared
to the pre-existing non-causal methods.
The resulting filters are
analysed by means of simulations, based on measured impulse
responses of the sound-system–room interactions. The results of
the simulations are compared to simulations of a frequency-domain
optimal method with comparable objective, as proposed
by Cai et al., and the results of the comparison are explained
using the design equations.
It is shown that the proposed method
is viable but that unattainable contrasts have a detrimental
impact on the spectral bright zone behaviour. A few different
strategies for dealing with this problem are also proposed.
It is
demonstrated that the detrimental effect of increasingly strict
causality constraints mainly concern the lower-frequency bright
zone behaviour in the system under investigation, but that the
very highest attainable contrast levels may also be reduced
somewhat.
- Related publications:
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PhD Thesis 2018 by Simon Widmark.
IEEE TASLP 2018 paper
on causal IIR audio precompensator filters subject to quadratic constraints. (The optimization method used in the present paper).
AES Munich 2012
Acoustical Zone Reproduction for Car Interiors Using a MIMO Framework.
IEEE ACC 2012 on MIMO design
of active noise controllers for car interiors.
IEEE TASLP 2014
on the design and analysis of LQG feedforward
controllers for active noise control.
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Reseach on audio signal processing
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