首页> 外文会议> >Covariant estimators of time-frequency descriptors for nonstationary random processes
【24h】

Covariant estimators of time-frequency descriptors for nonstationary random processes

机译:非平稳随机过程的时频描述符协变量估计

获取原文

摘要

For a nonstationary random process, the time-time correlation function, frequency-frequency Loeve spectrum, time-frequency Wigner-Ville distribution, and frequency-time ambiguity function are each complete theoretical descriptions of second-order behavior. They are complete in the sense that they determine realizations of the random process according to the Cramer-Loeve spectral representation for a harmonizable process. In this paper we derive estimators for these descriptors by requiring them to have the same covariant dependence on time delay and complex modulation as do their theoretical counterparts.
机译:对于非平稳随机过程,时间-时间相关函数,频率-频率Loeve频谱,时间-频率Wigner-Ville分布和频率-时间歧义函数分别是二阶行为的完整理论描述。它们是完整的,它们可以根据Cramer-Loeve频谱表示确定可协调过程的随机过程的实现。在本文中,我们通过要求描述符与理论上的对等方对时延和复杂调制具有相同的协变依赖性,来推导这些描述符的估计量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
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