ANewWaveletDe-noisingMethod Based on Spatial Correlation Filtering
MA Qiang
WANG Yang
LIU Haiping
Abstract：Since the signal and noise have different performances in wavelet domain ,spatial correlation filtering algorithm con‐ducts related operations by multiplying adjacent scale wavelet coefficients ,which can be able to keep details of signal and suppress noise at the same time .But this algorithm doesn't give clear times of extracting the signal details on each scale .This paper mainly aims at this drawback and proposes a new method .Through constructing loss function ,the best de‐noising signal is determined when this function is smallest .The simulation calculation shows that this method achieves good effect .
Keywords：waveletde-nosingfilteringspatial correlation
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 2045-2048 )