Technical Program

Paper Detail

Paper:SPTM-P6.10
Session:Non-Stationary Signal Analysis and Modeling
Time:Thursday, May 20, 09:30 - 11:30
Presentation: Poster
Topic: Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis
Title: MULTI-RESOLUTION ANALYSIS OF NON-UNIFORM DATA WITH JUMP DISCONTINUITIES AND IMPULSIVE NOISE USING ROBUST LOCAL POLYNOMIAL REGRESSION
Authors: Shing-Chow Chan; University of Hong Kong 
 Zhi-guo Zhang; University of Hong Kong 
Abstract: 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.
 
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