...
首页> 外文期刊>Signal Processing Magazine, IEEE >Low-Pass Filtering of Irregularly Sampled Signals Using a Set Theoretic Framework [Lecture Notes]
【24h】

Low-Pass Filtering of Irregularly Sampled Signals Using a Set Theoretic Framework [Lecture Notes]

机译:使用集合理论框架对不规则采样信号进行低通滤波[讲义]

获取原文
获取原文并翻译 | 示例
           

摘要

In this article, the goal is to show that it is possible to filter nonuniformly sampled signals according to specs defined in the Fourier domain. In many practical applications, it is necessary to filter irregularly sampled data including seismic signal processing, synthetic aperture radar (SAR) imaging systems, three-dimensional (3-D) meshes, and digital terrain models [1], [2].
机译:在本文中,目标是表明可以根据傅立叶域中定义的规范来过滤非均匀采样的信号。在许多实际应用中,必须过滤不规则采样的数据,包括地震信号处理,合成孔径雷达(SAR)成像系统,三维(3-D)网格和数字地形模型[1],[2]。

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