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Study on Loudspeaker Equalization with the Linear Prediction

机译:线性预测的扬声器均衡研究

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Linear prediction code (LPC) has been applied not only on speech processing but also loudspeaker equalization. There are shortcomings processing low frequency and overcome by warped frequency. A loudspeaker system has been equalized by LPC and warped-frequency linear prediction (WLPC), three conclusions have been drawn. First, LPC has higher frequency resolution and lower effective frequency with more orders. Secondly, WLPC processes low frequency better than LPC with the same order, and it has some better equalized results with more orders. Thirdly, both methods maybe determine incorrectly the “peak and valley” if orders are not enough and lose optimum equalized results.
机译:线性预测码(LPC)已不仅应用于语音处理,而且还应用于扬声器均衡。在处理低频方面存在缺陷,可以通过扭曲的频率来克服。通过LPC和扭曲频率线性预测(WLPC)均衡了扬声器系统,得出了三个结论。首先,LPC具有更高的频率分辨率和更低的有效频率,且阶数更多。其次,WLPC在相同阶数下比LPC更好地处理低频,并且在更多阶数下具有更好的均衡效果。第三,如果定单不足,两种方法都可能会错误地确定“高峰和低谷”,从而失去最佳均衡结果。

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