2012
DOI: 10.1109/tasl.2012.2199981
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Sound Field Reproduction With Energy Constraint on Loudspeaker Weights

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Cited by 49 publications
(24 citation statements)
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“…The approach uses a sufficiently dense distribution of microphones within all the zones as the matching points and adopts the least-squares method to control the pressure at each point. A constraint on the loudspeaker weight energy (or the array effort) is added to control the sound leakage outside the sound zones and to ensure the implementation is robust against speaker positioning errors and changes in the acoustic environment [144]. When the desired soundfeld in the bright zone is due to a few virtual source directions, the multi-zone sound control problem can be solved using a compressive sensing idea dolwhere the loudspeaker weights are regularised with the L 1 norm.…”
Section: Multi-zone Sound Reproductionmentioning
confidence: 99%
“…The approach uses a sufficiently dense distribution of microphones within all the zones as the matching points and adopts the least-squares method to control the pressure at each point. A constraint on the loudspeaker weight energy (or the array effort) is added to control the sound leakage outside the sound zones and to ensure the implementation is robust against speaker positioning errors and changes in the acoustic environment [144]. When the desired soundfeld in the bright zone is due to a few virtual source directions, the multi-zone sound control problem can be solved using a compressive sensing idea dolwhere the loudspeaker weights are regularised with the L 1 norm.…”
Section: Multi-zone Sound Reproductionmentioning
confidence: 99%
“…The regularization factor β , which was introduced to limit the input energy, has significant impact on system performance [4], [8], [9], [20] and various techniques are available for the calculation of β [8], [9], [20]. In this work, we use the so-called Normalized Tikhonov regularization (NTR) method, wherein the regularization factor is calculated as [9], [21] …”
Section: B Choice Of the Regularization Parametermentioning
confidence: 99%
“…However, due to this choice, we expect the input energy to vary between different scenarios. An optimal choice for β to satisfy a constraint on a desired level of maximum input energy allowed to the sources [20], [8], [22] within the framework proposed in this work is left to future work. The parameter β 0 may also be used to ensure system robustness against mismatches between assumed Z and actual responses.…”
Section: B Choice Of the Regularization Parametermentioning
confidence: 99%
“…The approach uses a sufficiently dense distribution of microphones within all the zones as the matching points and adopts the least-squares method to control the pressure at each point. A constraint on the loudspeaker Zhang et al, JASA, p. 5 weight energy (or the array effort) is added to control the sound leakage outside the sound zones and to ensure the implementation is robust against speaker positioning errors and changes in the acoustic environment 13 . When the desired sound field in the bright zone is due to a few virtual source directions, the multi-zone sound control problem can be solved using a compressive sensing idea where the loudspeaker weights are regularised with the…”
Section: Introductionmentioning
confidence: 99%