首页> 外文期刊>Geo-Spatial Information Science >Single Epoch GPS Deformation Signals Extraction and Gross Error Detection Technique Based on Wavelet Transform
【24h】

Single Epoch GPS Deformation Signals Extraction and Gross Error Detection Technique Based on Wavelet Transform

机译:基于小波变换的单历元GPS变形信号提取与粗差检测技术

获取原文
获取原文并翻译 | 示例
       

摘要

Wavelet theory is efficient as an adequate tool for analyzing single epoch GPS deformation signal. Wavelet analysis technique on gross error detection and recovery is advanced. Criteria of wavelet function choosing and Mallat decomposition levels decision are discussed. An effective deformation signal extracting method is proposed, that is wavelet noise reduction technique considering gross error recovery, which combines wavelet multi-resolution gross error detection results. Time position recognizing of gross errors and their repairing performance are realized. In the experiment, compactly supported orthogonal wavelet with short support block is more efficient than the longer one when discerning gross errors, which can obtain more finely analyses.And the shape of discerned gross error of short support wavelet is simpler than that of the longer one. Meanwhile, the time scale is easier to identify.
机译:小波理论作为分析单个时期GPS变形信号的适当工具是有效的。提出了小波分析技术在粗差检测与恢复中的应用。讨论了小波函数选择的准则和Mallat分解层次的确定。提出了一种有效的变形信号提取方法,即考虑总误差恢复的小波降噪技术,结合小波多分辨率总误差检测结果。实现了对粗差的时间位置识别及其修复性能。在实验中,具有短支持块的紧支撑正交小波在识别总误差时比长子小效率更高,这可以得到更精细的分析。而短支持小波的识别总误差的形状比长支持子小。 。同时,时间尺度更容易识别。

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