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Online Identification of Linear Loudspeakers Parameters

机译:在线识别线性扬声器参数

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Feed forward nonlinear error correction of loudspeakers can improve sound quality. For creating a realistic feed forward strategy identification of the loudspeaker parameters are needed. The strategy of the compensator is that the nonlinear behaviour of the loudspeakers has relatively small drift and only the linear loudspeaker parameters must be identified. In music systems this can be done with online transducer-less system identification using the voice coil current as feedback from the loudspeaker (plant). This is investigated in a simulation study for finding useful system identification algorithms. Two different identification techniques (ARMA and FIR) are compared. The stability of the nonlinearities and linear loudspeaker parameters are tested in a measurement series.
机译:扬声器的前馈非线性误差校正可以改善声音质量。为了创建现实的前馈策略,需要确定扬声器参数。补偿器的策略是扬声器的非线性行为具有相对较小的漂移,并且仅必须确定线性扬声器参数。在音乐系统中,这可以通过使用音圈电流作为扬声器(工厂)的反馈,通过在线无换能器系统识别来完成。在仿真研究中对此进行了研究,以找到有用的系统识别算法。比较了两种不同的识别技术(ARMA和FIR)。非线性和线性扬声器参数的稳定性按测量系列进行测试。

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