Performance Improvements in Sub-Band Coding Using the Proposed ADM

B. Sujatha, P. Satyanarayana, K. N. Haribhat
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Abstract

This paper presents a method for improving the signal-to-noise ratio (SNR) of adaptive delta modulators (ADM) with one-bit quantization. An ADM with pre-processed signals is proposed here. For example large variations in the input signal require larger step sizes. If step size is not increased, it leads to slope overload error. The large variations in the input signal are removed /smoothened by a suitable pre-processing method, one of which is using an integrator which can smoothen the rapid changes. The SONG and `improved¿ modified ABATE algorithm is used for the adaptation of step size. A speech coding system based on sub-band coding [1] with the pre-processed signals is also described here (two-channel and four-channel). Simulations have confirmed that the ADM with pre-processing leads to a high dynamic range performance and signal-to-noise ratio (SNR) compared to the conventional ADM.
利用提议的ADM改进子带编码的性能
提出了一种用一比特量化提高自适应增量调制器信噪比的方法。本文提出了一种带有预处理信号的ADM。例如,输入信号的较大变化需要较大的步长。如果不增加步长,则会导致斜率过载误差。通过适当的预处理方法去除/平滑输入信号中的大变化,其中一种预处理方法是使用可以平滑快速变化的积分器。采用SONG和改进的ABATE算法对步长进行自适应。本文还介绍了一种基于预处理信号的子带编码[1]的语音编码系统(双通道和四通道)。仿真结果表明,与传统的ADM相比,经过预处理的ADM具有更高的动态范围性能和信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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