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首页> 外文期刊>Electronics and Electrical Engineering >Design of Forward Adaptive Piecewise Uniform Scalar Quantizer with Optimized Reproduction Level Distribution per Segments
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Design of Forward Adaptive Piecewise Uniform Scalar Quantizer with Optimized Reproduction Level Distribution per Segments

机译:具有最佳分段复制水平分布的前向自适应分段均匀标量量化器设计

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The primary goal of the quantizer design is to determine the reproduction levels and the partition regions or cells such as to provide the minimum possible distortion for a fixed number of quantization levels N, or equivalently a fixed resolution R=log_2N [1, 3]. A quantizer support region can be divided into a variety of ways. If a quantizer support region consists of several segments, each of which contains several quantization cells and reproduction levels corresponding to a uniform quantizer, the quantizer is a piecewise uniform one [1, 2]. The piecewise uniform scalar quantizers (PUSQ) are widely used in practice due to their simple encoding procedure, which, in contrast to that of the nonuniform quantizer models, does not require the full search of the quantizer code book [1, 2]. The prevailing international standard for digital telephony, known as G.711 standard, defines a symmetric PUSQ by 8 bits of resolution and L=8 positive segments increased in length by a factor of 2 for each successive segments having 16 cells [1]. Particularly, the G.711 quantizers based on a piecewise uniform approximation to the A-law and μ-law compressor characteristics [1] divide the support region into a 2L=16 unequal segments, each of which has equal number of cells. Accordingly, the G.711 quantizer can be considered as a set of 2L uniform quantizers having an equal number of quantization levels, but the unequal support regions. Namely, each uniform quantizer, from the set of 2L quantizers composing the PUSQ, is designated to quantize the signals belonging to the corresponding segments so that, when the sample of the input signal to be quantized is within the i-th. segment, the corresponding z'-th uniform quantizer is then used. Along with the support region partition, according to the mentioned piecewise linear compressor characteristics, there are some novel propositions of the support region partition, i.e. of the piecewise uniform quantizer design. For instance, in the reference [4], the robustness conditions of the PUSQ based on a piecewise uniform approximation to the optimal compressor law are analysed. Additionally, in the reference [5], there is a proposition of the piecewise uniform vector quantizer that considers an unequal number of cells within the segments. However, in the reference [5], in the conclusion of the paper, the authors have highlighted that the main drawback of their method is that they do not have a manner for deciding how to determine the segments into which to divide the support region of a piecewise uniform quantizer for an arbitrary signal distribution. This comment has motivated us to propose an intuitively obtained solution, i.e. to research the performance of the PUSQ that defines the equidistant support region partion and the optimized distribution of the cells (or reproduction levels) within such defined segments. What is actually proposed in this paper is a PUSQ composed of 2L uniform quantizers having equal support regions, but possibly different number of quantization cells. Moreover, in order to provide an optimal manner of reproduction level distribution per segments, the granular distortion optimization is proposed, while such a constrained optimization problem is solved using the method of Lagrange multipliers [1].
机译:量化器设计的主要目标是确定再现级别和分区区域或单元,以便为固定数量的量化级别N或等效的固定分辨率R = log_2N [1,3]提供最小可能的失真。量化器支持区域可以分为多种方式。如果量化器支持区域由几个段组成,每个段包含几个量化单元和对应于一个统一量化器的再现级别,则该量化器是一个分段统一的段[1、2]。分段统一标量量化器(PUSQ)由于其简单的编码过程而在实践中得到了广泛使用,与非均匀量化器模型相比,它不需要对量化器代码本进行全面搜索[1、2]。流行的数字电话国际标准称为G.711标准,它定义了一个对称的PUSQ,具有8位分辨率,对于具有16个单元的每个连续段,L = 8个正段的长度增加了2倍[1]。特别是,基于A律和μ律压缩器特性[1]的分段均匀近似的G.711量化器将支持区域划分为2L = 16个不相等的段,每个段具有相同数量的像元。因此,G.711量化器可以视为一组2L统一量化器,它们具有相同数量的量化级别,但支持区域不相等。即,从构成PUSQ的2L量化器的集合中的每个统一量化器被指定以量化属于相应段的信号,使得当要量化的输入信号的样本在第i个之内。然后,使用相应的第z'个均匀量化器。根据所提到的分段线性压缩器特性,连同支撑区域分隔,存在支撑区域分隔的一些新颖的主张,即分段均匀量化器设计。例如,在参考文献[4]中,基于对最优压缩机定律的分段均匀近似,分析了PUSQ的鲁棒性条件。另外,在参考文献[5]中,有一个分段统一矢量量化器的主张,它考虑了段内不相等数量的单元。但是,在参考文献[5]中,作者在结论中强调指出,他们的方法的主要缺点是他们没有确定如何确定将支撑区域划分为哪些区域的方法。用于任意信号分布的分段均匀量化器。该评论促使我们提出一种直观获得的解决方案,即研究PUSQ的性能,该性能定义了等距支撑区域的划分以及此类所定义段内细胞的最佳分布(或繁殖水平)。本文实际提出的是一种PUSQ,它由2L均匀量化器组成,它们具有相等的支持区域,但可能有不同数量的量化单元。此外,为了提供每段的再现级别分布的最佳方式,提出了粒度失真优化,同时使用拉格朗日乘法器[1]解决了这种受限的优化问题。

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