【24h】

CS-based method to determine minimum sampling frequency

机译:基于CS的确定最小采样频率的方法

获取原文

摘要

Metro construction's risk analysis and progress forecasting require quality construction monitoring data. Because of poor sampling practice in Wuhan subway construction's data collection, most of the sampled data is manually gained without consistency due to the field conditions. How to determine the minimum sampling frequency and keep the original data recovery without any distortion, there is no standard specification. As a result, the monitoring solution is decided by experience and is also accompanied by arbitrariness. This paper provides a new method to determine the minimum sampling frequency based on compressive sensing (CS), and the results provide a basis for the safety monitoring standards optimization.
机译:地铁施工的风险分析和进度预测需要高质量的施工监控数据。由于武汉地铁建设数据采集中的采样实践不佳,由于现场条件的缘故,大部分采样数据都是手动获取的,不一致。如何确定最小采样频率并保持原始数据恢复无任何失真,没有标准规范。结果,监视解决方案取决于经验,并且还具有任意性。本文提供了一种基于压缩感知(CS)确定最小采样频率的新方法,为安全监测标准的优化提供了依据。

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