用少量比特增加多重描述编码的相关性

A. Ito, S. Makino
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引用次数: 1

摘要

在本文中,我们研究了使用一个或两个额外的信息增加两个值之间的相关性的方法。对于使用1位的方法,我们研究了“1位量化”、“符号校正”和“差分量化”方法。对于那些使用两位的,我们研究了“2位量化”、“符号校正+差分量化”和“2位差分量化”方法。理论分析和数值实验发现,当原始数据相关性较弱时,基于量化的方法效果最好,而当原始数据相关性较强时,“差分量化”或组合符号校正效果较好。然后将该方法应用于语音信号的多重描述编码。
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Increasing Correlation using a Few Bits for Multiple Description Coding
In this paper we investigated methods that increase correlation between two values using one or two bits of extra information. For methods that use one bit, we investigated '1-bit quantization,' 'sign correction' and 'difference quantization' methods. For those that use two bits, we investigated '2-bit quantization,' 'sign correction+difference quantization' and '2-bit difference quantization' methods. From theoretical analysis and numerical experiments, it has been found that the quantization-based method is best when correlation of the original data is weak, while 'difference quantization' or combination of sign correction is better when the original data have strong correlation. Then we applied the methods to multiple description coding of speech signals.
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