差分PCM和自适应预测编码系统的最优和次最优估计

J. Gibson
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引用次数: 3

摘要

差分脉冲编码调制(DPCM)和自适应预测编码(APC)系统在低数据速率数字语音传输中都取得了一定的成功。DPCM系统的目标是在传输前通过对输入信号的线性预测和对过去信号估计的加权组合来去除信号冗余。然后将预测过程中的误差量化并传送给接收器。在接收端使用一个相同的预测回路来重新插入冗余,从而重建语音信号。量化器和预测器都可能是自适应的,也可能不是。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal and suboptimal estimation in differential PCM and adaptive predictive coding systems
Both differential pulse code modulation (DPCM) and adaptive predictive coding (APC) systems have been used somewhat successfully for low data rate digital voice transmission. A DPCM system has as its goal the removal of signal redundancy prior to transmission by a linear prediction of the incoming signal with a weighted combination of past signal estimates. The error in the prediction process is then quantized and transmitted to the receiver. An identical prediction loop is used at the receiver to reinsert the redundancy, and hence, to reconstruct the speech signal. Both the quantizer and predictor may or may not be adaptive.
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