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The multi-input multi-output theorem (MINT) for causality problems reduction in active noise control

机译:用于减少主动噪声控制中因果关系问题的多输入多输出定理(MINT)

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This paper deals with the causality constrain in active noise control of interior noise, namely it studies the possibility of reducing this problem in cases where it doesn't have a fundamental nature connected to true delays in the system, but is more related to the enclosures reverberation time. The MINT theorem can be used to show that, for such cases, if the number of reference signals is greater than the number of noise sources and if the number of secondary signals is greater than the number of error microphones, the causality problems can be greatly reduced. However, in some cases, the problem can becomes badly conditioned and without use from a practical viewpoint. This is of special importance for inversion of the pre-reference path, because the reference signal can receive a large amount of ambient noise. The article describes some computer simulations of such systems is small enclosures to evaluate to what extent this problem appears in practice. In addition, a MC-LSL algorithm is presented to solve the problms associated with the high correlation of the reference signals of these systems.
机译:本文讨论了室内噪声主动噪声控制中的因果关系约束,即研究了在没有与系统真正延迟相关的基本特性的情况下减少此问题的可能性,而该问题更多地与围护结构有关。混响时间。 MINT定理可用于表明,在这种情况下,如果参考信号的数量大于噪声源的数量,并且辅助信号的数量大于误差麦克风的数量,则因果关系问题可能会非常严重。减少。但是,在某些情况下,从实际的角度来看,该问题可能会变得很糟糕,并且无法使用。这对于预参考路径的反转特别重要,因为参考信号会接收大量的环境噪声。本文介绍了这种系统在小型机箱中的一些计算机仿真,以评估此问题在实际中出现的程度。另外,提出了一种MC-LSL算法来解决与这些系统的参考信号的高相关性相关的问题。

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