Cross-terms suppression in Wigner-Ville distribution based on image processing

摘要：

A novel method of cross-terms suppression in Wigner-Ville distribution through combining image processing techniques with pseudo-Wigner distribution. First we make pseudo-Wigner transform towards signals, then rotate the timefrequency map according to some angle and revolve it by the same angle in adverse direction. So the two time-frequency distributions emerge obvious mismatch, using which the crossterms can be detected. Finally, the cross-terms will be removed through designing a filter of 2-value. The simulation indicates that the method this paper proposed is effective.

关键词： time-frequency analysis pseudo-Wigner distribution cross-terms image processing

作者: Dianfa Ping Peihong Zhao Bing Deng

作者单位: Department of Electronic and Information Engineering,Naval Aeronautical and Astronautical University Graduate Students Brigade,Naval Aeronautical and Astronautical UniversityYantai,P.R.China,264001 Department of Electronic and Information Engineering,Naval Aeronautical and Astronautical University

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）