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Design of Forward Adaptive Piecewise Uniform Scalar Quantizer with Optimized Reproduction Level Distribution per Segments

机译:各个段优化再现水平分布的前向自适应分段均匀标量化器设计

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摘要

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水平和分区区域或小区,例如为固定数量的量化级别n提供最小可能的失真,或者等效地是固定分辨率r = log_2n [1,3]。量化器支撑区域可以分为各种方式。如果量化器支持区域由若干段组成,则每个段包含若干量化单元和对应于均匀量化器的再现电平,该量化器是一个分段均匀[1,2]。由于其简单的编码过程,分段均匀标量标量化器(PUSQ)广泛用于实践中,与非均匀量化器模型相比,这不需要全面搜索量化器代码簿[1,2]。作为G.711标准称为G.711标准的现行国际标准,定义了8位分辨率的对称PUSQ,L = 8个正段长度为具有16个细胞的每个连续段的2倍,每个连续段[1]。特别地,基于对A-Law和μ-Law压缩机特性的分段均匀近似的G.711量化器将支撑区域分成2L = 16个不等段,每个段具有相同数量的细胞。因此,G.711量化器可以被认为是具有相同数量的量化水平的一组2L均匀量化器,而是不平等的支撑区域。即,每个均匀的量化器来自构成PUSQ的2L量化器,指定为量化属于相应段的信号,使得当要量化的输入信号的样品在第i中。然后使用该段,然后使用相应的Z'-TH均匀量化器。随着支撑区分区,根据所提到的分段线性压缩机特性,存在一些新颖的主题的支撑区分隔,即分段均匀量化器设计。例如,在参考文献[4]中,分析了基于分段均匀近似到最佳压缩机定律的鲁棒性条件。另外,在参考文献[5]中,分段均匀载体量化剂的命题认为在段内的不等电池。然而,在参考文献[5]中,在本文的结论中,作者强调了它们的方法的主要缺点是它们没有决定如何确定分割支撑区域的段的方式用于任意信号分布的分段均匀量化器。该评论有动力推动我们提出直观获得的解决方案,即研究PUSQ的性能,该占地面积地定义了这种定义的段内的细胞(或再现水平)的优化分布。本文实际提出的是一种由具有相等支撑区域的2L均匀量化器组成的PUSQ,但可能是不同数量的量化细胞。此外,为了提供每个区段的再现水平分布的最佳方式,提出了粒度失真优化,而使用拉格朗日乘法器的方法解决了这种约束优化问题[1]。

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