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基于部分失真定理的信道最优矢量量化器设计 被引量：2

Design of Channel-Optimized Vector Quantizer (COVQ)Based on the Partial Distortion Theorem
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摘要 提出了一个使用进化算法、引入部分失真定理 (渐进划分理论 )的信道最优矢量量化器( COVQ)的设计算法 .采用该算法 ,在给定信道状态模型和存在信道噪声的情况下 ,可有效地提高矢量量化器的性能 ,实现了 COVQ的设计 .该算法利用进化策略调整各码矢所确定区域的子误差 ,从而进一步改善期望误差 .与常用的码书设计算法相比较 ,该算法能较好地调整各区域的子误差 ,获得比传统算法更高的性能增益 . A partial distortion theorem based Channel-Optimized VQ (COVQ) design algorithm using the evolutionary algorithm on noisy channel was presented. The evolutionary algorithm is introduced into the design of COVQ to achieve a significant improvement of VQ performance for a given noisy channel status model. The evolutionary strategy is utilized to modulate the subdistortion of each region determined by each code vector in order to improve the expected distortion. Compared with other conventional code book design algorithms, the presented algorithm can modulate the subdistortion of each region and achieve the significant gains in average distortion due to channel errors as confirmed by the experimental results.
作者 李天昊 余松煜
机构地区 上海交通大学图像通信与信息处理研究所
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2002年第6期761-764,共4页 Journal of Shanghai Jiaotong University
关键词 信道最优矢量量化器 设计 部分失真定理 进化算法 联合信源信道编码 二进制对称信道 无线信道 Genetic algorithms Signal encoding Signal to noise ratio Vector quantization
分类号 TN911.22 [电子电信—通信与信息系统]
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参考文献12

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同被引文献18

  • 1Wen J, Villasenor J D. Utilizing soft information in decoding of variable length codes[A]. Proe 1999 IEEE Data Compression Conferenee[C]. Snowbird,UT: DCC, 1999.
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  • 8Hochward B, Zeger K. Tradeoff between source and channel coding [J]. IEEE Trans Inform Theory,1997,43(5) : 1412- 1424.
  • 9SAYOOD K, BORKENHAGEN J C. Use of residual redundancy in the design of joint source/channel coders[J]. IEEE Trans Commun,1991, 39 : 838-846.
  • 10COTE G, EROL B, GALLANT M, et al. H.263+ video coding at low bit rates[J]. IEEE Trans on Circuits and Systems for Video Technology,1998,8(7): 849-866.

引证文献2

二级引证文献6

上海交通大学学报
2002年 第6期

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