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An adaptive waveform coding algorithm and its application in speech coding

机译:自适应波形编码算法及其在语音编码中的应用

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摘要

This paper proposes a novel waveform coding algorithm based on the forward adaptive technique with the goal to provide the overreaching of the signal to quantization noise ratio achievable by the coding solution designed according to G.711 standard. The novel algorithm performs frame-by-frame analysis of the input signal, according to which one of the two compandors, the restricted or the unrestricted one, is selected for the particular frame procession. The basic concept of the proposed algorithm is to enable a more preferable selection of the restricted compandor than the unrestricted one, since, in such a manner, an increase of the signal to quantization noise ratio can be provided. Since both the theoretical and the simulation results, which are obtained for the assumed input speech signal, indicate the performance improvement over the G.711 standard along with approximately 1 bit/sample compression, one can expect that the proposed algorithm will be effective in coding of signals, that as well as speech signals follow Laplacian distribution and have the time varying characteristics.
机译:本文提出了一种基于前向自适应技术的新型波形编码算法,其目的是提供根据G.711标准设计的编码解决方案所能达到的信号与量化噪声之比的超越。新颖的算法对输入信号进行逐帧分析,根据该分析,为特定的帧处理选择了两个压缩器之一,即受限制的或不受限制的压缩器。所提出的算法的基本概念是使受限制的压扩器比不受限制的压扩器更优选的选择,因为以这种方式,可以提供信噪比的增加。由于针对假定的输入语音信号获得的理论和仿真结果均表明,与G.711标准相比,性能得到了改善,压缩率约为1位/样本,因此可以预期,该算法在编码中将是有效的。信号以及语音信号都遵循拉普拉斯分布,并且具有时变特性。

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