標題: Blind identification and deconvolution algorithms using higher-order cumulants
作者: Ueng, FB
Su, YT
電信工程研究所
Institute of Communications Engineering
關鍵字: identification;deconvolution;higher-order statistics
公開日期: 1-May-1997
摘要: The use of second-order statistics in identification or deconvolution incurs error due to additive Gaussian noise. In contrast, higher-order statistics (HOS) are insensitive to Gaussian perturbation and can be used to characterize nonminimum phase (NMP) systems. In this paper we propose batch, recursive and adaptive form algorithms based on third- and fourth-order cumulants to solve the identification and deconvolution problems. A new order determination procedure is also presented. Simulation results demonstrate that our algorithms do have superior performance when compared with existing algorithms.
URI: http://dx.doi.org/10.1080/02533839.1997.9741828
http://hdl.handle.net/11536/149550
ISSN: 0253-3839
DOI: 10.1080/02533839.1997.9741828
期刊: JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
Volume: 20
起始頁: 247
結束頁: 255
Appears in Collections:Articles