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Study on Loudspeaker Equalization with the Linear Prediction

机译:线性预测扬声器均衡研究

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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)不仅应用于语音处理,还应用了扬声器均衡。有缺点处理低频并通过翘曲频率克服。通过LPC和翘曲 - 频率线性预测(WLPC)均衡了一个扬声器系统,已经绘制了三个结论。首先,LPC具有较高的频率分辨率和较低的有效频率,具有更多订单。其次,WLPC比LPC处理低频,具有相同的顺序,并且具有更多订单的均衡结果。第三,如果订单不够,两种方法都可以确定“峰值和谷”,并且损失最佳均衡结果。

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