Name
Abstract | ||
|---|---|---|
Multiwavelets give better results than single wavelets for signal denoising. We study multiwavelet thresholding by incorporating neighboring coefficients. Experimental results show that this approach is better than the conventional approach, which only uses the term-by-term multiwavelet denoising. Also, it outperforms neighbor single wavelet denoising for some standard test signals and real-life i... |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/LSP.2003.811586 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Noise reduction,Wavelet coefficients,Signal denoising,Wavelet domain,Higher order statistics,Hidden Markov models,Testing,White noise,Gaussian distribution,Wavelet transforms | Journal | 10 |
Issue | ISSN | Citations |
7 | 1070-9908 | 20 |
PageRank | References | Authors |
2.15 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Y. Chen | 1 | 309 | 35.43 |
| T. D. Bui | 2 | 78 | 18.52 |