首页> 外文会议>IEEE International Conference on Acoustics, Speech, and Signal Processing >MULTI-RESOLUTION ANALYSIS OF NON-UNIFORM DATA WITH JUMP DISCONTINUITIES AND IMPULSIVE NOISE USING ROBUST LOCAL POLYNOMIAL REGRESSION
【24h】

MULTI-RESOLUTION ANALYSIS OF NON-UNIFORM DATA WITH JUMP DISCONTINUITIES AND IMPULSIVE NOISE USING ROBUST LOCAL POLYNOMIAL REGRESSION

机译:使用稳健的局部多项式回归的跳转不连续性的非统一数据的多分辨率分析和脉冲噪声

获取原文

摘要

This paper proposes a new method for performing multiresolution analysis (MRA) of non-uniform data with jump discontinuities and impulsive noise using robust M-estimator-based local polynomial regression (LPR). The basic idea is to interpolate the smoothed estimate, after performing the robust LPR, on a uniform grid in order to perform the MRA using the ordinary wavelet transform. Simulation results show that the new approach performs better than traditional LS-based LPR in preserving jump discontinuities and suppressing isolated impulses when the intersection confident intervals (ICI) bandwidth selection is employed.
机译:本文提出了一种使用鲁棒M估计的本地多项式回归(LPR)进行跳跃不连续性和脉冲噪声的非统一数据的多分辨率分析(MRA)的新方法。基本思想是在执行稳健的LPR之后在统一网格上进行平滑估计,以便使用普通小波变换来执行MRA。仿真结果表明,当采用交叉路口(ICI)带宽选择时,新方法比在保存跳转不连续性的基于传统LS的LPR方面表现优于传统的LS的LPR。

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