Noise Reduction Using an Undecimated Discrete Wavelet Transform
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | IEEE Signal Processing Letters | en_US |
| dc.contributor.author | Lang, Markus | en_US |
| dc.contributor.author | Guo, Haitao | en_US |
| dc.contributor.author | Odegard, Jan E. | en_US |
| dc.contributor.author | Burrus, C. Sidney | en_US |
| dc.contributor.author | Wells, R.O. | en_US |
| dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
| dc.date.accessioned | 2007-10-31T00:51:07Z | en_US |
| dc.date.available | 2007-10-31T00:51:07Z | en_US |
| dc.date.issued | 1995-01-15 | en_US |
| dc.date.modified | 2004-01-21 | en_US |
| dc.date.note | 2004-01-08 | en_US |
| dc.date.submitted | 1995-01-15 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | A new nonlinear noise reduction method is presented that uses the discrete wavelet transform. Similar to Donoho and Johnstone, we employ thresholding in the wavelet transform domain but, following a suggestion by Coifman, we use an undecimated, shift-invariant, nonorthogonal wavelet transform instead of the usual orthogonal one. This new approach can be interpreted as a repeated application of the original Donoho and Johnstone method for different shifts. The main feature of the new algorithm is a significantly improved noise reduction compared to the original wavelet based approach, both the <i>l<sub>2</sub></i> error and visually, for a large class of signals. This is shown both theoretically as well as by experimental results. | en_US |
| dc.identifier.citation | M. Lang, H. Guo, J. E. Odegard, C. S. Burrus and R. Wells, "Noise Reduction Using an Undecimated Discrete Wavelet Transform," 1995. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/20049 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | Temporary | en_US |
| dc.subject.keyword | Temporary | en_US |
| dc.subject.other | Wavelet based Signal/Image Processing | en_US |
| dc.title | Noise Reduction Using an Undecimated Discrete Wavelet Transform | en_US |
| dc.type | Conference paper | en_US |
| dc.type.dcmi | Text | en_US |
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