在低比特率下具有改进性能的均匀重构级量化器

Seunghyeon Rhee, Yong-Kyu Kim, Hyun Meen Jung, Kyu Tae Park
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引用次数: 0

摘要

介绍了一种改进的均匀量化器,在低比特率下具有更好的性能。另外两种均匀量化器也从速率失真特性方面进行了分析。结果表明,采用从量化区间中点偏移的决策水平可以获得较好的率失真特性。新的决策水平给出了最佳的舍入阈值。实验结果表明,采用拉普拉斯输入源后,在0.8 bits/sample下,与均匀量化器相比,信噪比提高了0.87 dB。
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A uniform reconstruction level quantizer with improved performance at low bit rates
A modified uniform quantizer which gives better performance at low bit rates is introduced. Two other uniform quantizers are also analyzed in terms of rate-distortion characteristics. It is verified that better rate-distortion characteristics are obtained by using decision levels shifted from the midpoints of quantization intervals. The new decision levels give the optimum round off thresholds. Experimental results show that, applying Laplacian input source, the SNR is improved by 0.87 dB at 0.8 bits/sample compared with a widely used uniform quantizer.
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