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Improved loudspeaker-room equalization using multiple loudspeakers and MIMO feedforward control

机译:使用多个扬声器和MIMO前馈控制改善了扬声器房间均衡

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In this paper, a new multichannel approach to robust loudspeaker-room equalization is presented. Traditionally, the equalization (or room correction) problem has been treated mostly by single-channel methods, with loudspeaker signals being prefiltered individually by separate scalar filters. Single-channel methods can generally improve the average spectral flatness of the acoustic transfer functions in a listening region, but the variability of the transfer functions within the region cannot be affected. Most modern audio reproduction systems, however, contain two or more loudspeakers, and in this paper we aim at improving the equalization performance by using all available loudspeakers jointly. To this end we propose a general MIMO formulation of the problem, which is a multichannel generalization of an earlier single-channel approach by the authors. The new approach is found to reduce the average reproduction error and the spatial variability of the acoustic transfer functions. Moreover, pre-ringing artifacts are avoided, and the reproduction error below 1000 Hz is significantly reduced with an amount that scales with the number of loudspeakers used.
机译:在本文中,提出了一种新的多通道方法来增强扬声器房间均衡。传统上,均衡(或房间校正)问题主要通过单声道方法解决,扬声器信号由单独的标量滤波器分别进行预滤波。单通道方法通常可以改善收听区域中声音传递函数的平均频谱平坦度,但是不能影响该区域内传递函数的可变性。但是,大多数现代音频再现系统包含两个或多个扬声器,在本文中,我们旨在通过共同使用所有可用扬声器来提高均衡性能。为此,我们提出了该问题的通用MIMO公式,这是作者对较早的单通道方法的多通道概括。发现新方法可减少平均再现误差和声学传递函数的空间变异性。而且,避免了预振铃伪像,并且以与所使用扬声器的数量成比例的量显着减小了低于1000 Hz的再现误差。

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