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首页> 外文期刊>IEEE Journal on Selected Areas in Communications >Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditions
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Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditions

机译:在嘈杂的传输条件下,确保ADPCM语音编码器中的预测变量跟踪

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摘要

The problem of predictor mistracking for narrowband signals in backward adaptive ADPCM (adaptive digital pulse code modulation) speech coders is shown to arise as a result of feedback from the signal reconstruction filter to the predictor adaptation process. A class of residual-signal-driven lattice predictors (PR) is defined that guarantees tracking for all signals without regard to the order of prediction. The LR predictor enhances speech and DTMF (dual-tone multifrequency) signal transmission performance in the presence of transmission errors. Under error-free transmission conditions, a segmental SNR (signal-to-noise ratio) drop for speech of nearly 2 dB may be encountered for the LR predictor relative to the classical signal-drive lattice predictor. In most practical telecommunication applications, however, this degradation is outweighed by the improved robustness of the predictor.
机译:在后向自适应ADPCM(自适应数字脉冲编码调制)语音编码器中,窄带信号的预测器误跟踪问题显示为从信号重构滤波器反馈到预测器自适应过程的结果。定义了一类残差信号驱动的格网预测器(PR),可确保跟踪所有信号而无需考虑预测顺序。在存在传输错误的情况下,LR预测器可增强语音和DTMF(双音多频)信号的传输性能。在无错误的传输条件下,相对于传统的信号驱动晶格预测器,LR预测器可能会遇到近2 dB的语音分段SNR(信噪比)下降。然而,在大多数实际的电信应用中,预测器的改进的健壮性抵消了这种恶化。

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