標題: Robust vector quantization for wireless channels
作者: Chang, WW
Tan, TH
Wang, DY
電信工程研究所
Institute of Communications Engineering
關鍵字: genetic algorithm;index assignment;vector quantization
公開日期: 1-七月-2001
摘要: This study focuses on two issues: parametric modeling of the channel and index assignment of codevectors, to design a vector quantizer that achieves high robustness against channel errors. We first formulate the design of a robust zero-redundancy vector quantizer as a combinatorial optimization problem leading to a genetic search for a minimum-distortion index assignment. Performance is further enhanced by the use of the Fritchman channel model that more closely characterizes the statistical dependencies between error sequences. This study also presents an index assignment algorithm based on the Fritchman model with parameter values estimated using a real-coded genetic algorithm. Simulation results indicate that the global explorative properties of genetic algorithms make them very effective in estimating Fritchman model parameters, and use of this model can match index assignment to expected channel conditions.
URI: http://dx.doi.org/10.1109/49.932703
http://hdl.handle.net/11536/29534
ISSN: 0733-8716
DOI: 10.1109/49.932703
期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume: 19
Issue: 7
起始頁: 1365
結束頁: 1373
顯示於類別:期刊論文


文件中的檔案:

  1. 000169702600015.pdf