...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP) >Adaptive suppression of Wigner interference-terms using shift-invariant wavelet packet decompositions
【24h】

Adaptive suppression of Wigner interference-terms using shift-invariant wavelet packet decompositions

机译：Adaptive suppression of Wigner interference-terms using shift-invariant wavelet packet decompositions

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相关主题

摘要

The Wigner distribution (WD) possesses a number of desirable mathematical properties relevant to time-frequency analysis. However, the presence of interference terms renders the WD of multicomponent signals extremely difficult to interpret. In this work, we propose adaptive suppression of interference terms using the shift-invariant wavelet packet decomposition. A prescribed signal is expanded on its best basis and transformed into the Wigner domain. Subsequently, the interference terms are eliminated by adaptively thresholding the cross-WD of interactive basis functions, according to their amplitudes and distance in an idealized time-frequency plane. We define a distance measure that weighs the Euclidean distance with the local distribution of the signal. The amplitude and distance thresholds control the cross-term interference, the useful properties of the distribution, and the computational complexity. The properties of the resultant modified Wignet distribution (MWD) are investigated, and its performance in eliminating interference terms, while still retaining high-energy resolution, is compared with that of other existing approaches. It is shown that the proposed MWD is directly applicable to resolving multicomponent signals. Each component is determined as a partial sum of basis functions over a certain equivalence class in the time-frequency plane.

著录项

获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号