Wavelet Soft Thresholding
Key Facts
Abbreviation
WST
Pronunciation
/ˈweɪvlɪt sɒft ˈθreʃəldɪŋ/
Category
Miscellaneous
Related Field
Unclassified
Examples in Context
- The quality of regression was improved by combining wavelet soft thresholding with kernel partial least squares ( KPLS ).
- The quality of noise removal and regression was improved by combining wavelet soft thresholding with radial basis function neural network.
- The quality of noise removal was improved by combining wavelet soft thresholding with principal component analysis ( PCA ). HYBRID method was used for denoising, after comparison with other soft thresholding method.
- Therefore, wavelet soft thresholding method can implement regional competition model faster.
- Meanwhile, with the adjustment of the speed factor, the different objects number is obtained, to satisfy various situations and requirements, which improve the application of CV model. Secondly, a numerical method based on wavelet soft thresholding for region competition model was presented.
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