期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

噪声信道中基于进化算法的矢量量化器的设计 被引量：1

The design of COVQ based on the evolutionary algorithm on noisy channel
下载PDF
导出
摘要 本文提出了一个基于进化算法的信道最优矢量量化器(COVQ)设计算法。该算法在给定信道状态模型和存在信道噪声的情况下,可以有效地提高矢量量化器的性能,实现了信道最优矢量量化器的设计。与目前常用的码书设计算法比较,实验结果表明该算法可获得比传统算法更高的性能增益。 An evolutionary algorithm based channel-optimized VQ (COVQ) design algorithm on noisy channel is presented in the paper. 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. This algorithm achieves significant gains in average distortion due to channel errors, over other conventional VQ design methods, as confirmed by 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 《通信学报》 EI CSCD 北大核心 2002年第7期33-39,共7页 Journal on Communications
关键词 噪声信道 矢量量化 VQ 进化算法 联合信源信道编码 信道最优矢量量化器 二进制对称信道 COVQ JSCC vector quantization evolutionary algorithm joint source-channel coding channel optimized VQ binary symmetric channel
分类号 TN911.4 [电子电信—通信与信息系统] TN911.21 [电子电信—通信与信息系统]
  • 相关文献

参考文献11

  • 1[1]SHANNON C E. A mathematical theory of communication[J]. The Bell System Technical Journal, 1948, 27(7): 379-423;27(10): 623-656.
  • 2[2]KURTENBACH A, WINTZ P. Quantization for noisy channels[J]. IEEE Trans on Commun, 1969, COM-17: 291-302.
  • 3[3]FARVARDIN N, VAISHANPAYAN V. Optimal quantizer design for noisy channels: an approach to combined source-channel coding[J]. IEEE Trans on Inform Theory, 1987, 27-33(11): 827-838.
  • 4[4]ZEGER K, GERSHO A. Vector quantizer design for memoryless noisy channels [A]. Proc ICC'88[C]. Philabelphia, 1988.
  • 5[5]LINDER T, LUGOSI G, ZEGER K. Empirical quantizer design in the presence of source noise or channel noise[J]. IEEE Trans on Information Theory, 1998, 44(1): 79-93.
  • 6[6]Linde Y, Buzo A,Gray R M. An algorithm for vector quantizer design[J]. IEEE Trans on Commun, 1980, COM-28(1): 84-95.
  • 7[7]BACK T, FOGEL D B, MICHALEWICZ Z. Handbook of Evolutionary Computation[M]. New York: Oxford University Press;Bristol:Institute of Physics Publishing, 1997.
  • 8[8]DAVID B F. An introduction to simulated evolutionary optimization[J]. Math Oper Res, 1981, 6: 19-30.
  • 9[9]PHAMDO N, ALAJAJI F, FARVARDIN N. Quantization of memoryless and Gauss-Markov sources over binary markov channels[R]. Technical Research Report, T.R. 94-79, 1994.
  • 10[10]CHELLAPILLA K. Combining mutation operators in evolutionary programming[J]. IEEE Trans on Evolutionary Comp, 1998, 2(3): 77-90.

同被引文献10

  • 1SAYOOD K, BORKENHAGEN J C. Use of residual redundancy in the design of joint source/channel coders[J]. IEEE Trans Commun,1991, 39 : 838-846.
  • 2COTE 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.
  • 3NILL C, SUNDBERG C E W. List and soft symbol output Viterbi algorithms: extensions and comparisons [J]. IEEE Trans Commun,1995, 43(2-4): 277-287.
  • 4SAYOOD K, HASAN H, DEMIR N. Joint source/channel coding for variable length codes [J]. IEEE Trans Commun, 2000, 48 (5): 787-794.
  • 5SHANNON C E. A mathematical theory of communication[J]. Bell Syst Tech J, 1948, 27: 379-423.
  • 6HOCHWARD B, ZEGER K, Tradeoff between source and channel coding [J]. IEEE Trans Inform Theory, 1997, 43(5): 1412-1424,
  • 7WEN J, VVILLASENOR J D. Utilizing soft information in decoding of variable length codes[A]. Proc 1999 IEEE Data Compression Conference[C]. Snowbird, UT, 1999.
  • 8PARK M. MILLER D J. Joint source-channel decoding for variable length encoded data by exact and approximate MAP sequence estimation[A]. Proc lnt Conf Acoustics, Speech, Signal Processing[C]. 1999.2451-2454.
  • 9李天昊,余松煜.基于部分失真定理的信道最优矢量量化器设计[J].上海交通大学学报,2002,36(6):761-764. 被引量：2
  • 10赵训威,张平,王檀.自适应多码率语音编码流的可靠传输[J].通信学报,2004,25(5):175-181. 被引量：5

引证文献1

二级引证文献6

通信学报
2002年 第7期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部