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Embedded-Optimization-Based Loudspeaker Precompensation Using a Hammerstein Loudspeaker Model

机译:使用Hammerstein扬声器模型的基于嵌入式优化的扬声器预补偿

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This paper presents an embedded-optimization-based loudspeaker precompensation algorithm using a Hammerstein loudspeaker model, i.e. a cascade of a memoryless nonlinearity and a linear finite impulse response filter. The loudspeaker precompensation consists in a per-frame signal optimization. In order to minimize the perceptible distortion incurred in the loudspeaker, a psychoacoustically motivated optimization criterion is proposed. The resulting per-frame signal optimization problems are solved efficiently using first-order optimization methods. Depending on the invertibility and the smoothness of the memoryless nonlinearity, different first-order optimization methods are proposed and their convergence properties are analyzed. Objective evaluation experiments using synthetic loudspeaker models and real loudspeakers show that the proposed loudspeaker precompensation algorithm provides a significant audio quality improvement, especially so at high playback levels.
机译:本文提出了一种使用Hammerstein扬声器模型的基于嵌入式优化的扬声器预补偿算法,即无记忆非线性和线性有限冲激响应滤波器的级联。扬声器的预补偿在于每帧信号的优化。为了最小化扬声器中引起的可感知失真,提出了一种基于心理听觉的优化准则。使用一阶优化方法可以有效地解决由此产生的每帧信号优化问题。根据无记忆非线性的可逆性和平滑性,提出了不同的一阶优化方法,并对它们的收敛性进行了分析。使用合成扬声器模型和真实扬声器的客观评估实验表明,所提出的扬声器预补偿算法可以显着改善音频质量,尤其是在高播放级别时。

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