Projection-based wavelet denoising [lecture notes]
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 124 | en_US |
dc.citation.issueNumber | 5 | en_US |
dc.citation.spage | 120 | en_US |
dc.citation.volumeNumber | 32 | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.contributor.author | Tofighi M. | en_US |
dc.date.accessioned | 2016-02-08T09:40:53Z | |
dc.date.available | 2016-02-08T09:40:53Z | |
dc.date.issued | 2015 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | In this lecture note, we describe a wavelet domain denoising method consisting of making orthogonal projections of wavelet (subbands) signals of the noisy signal onto an upside down pyramid-shaped region in a multidimensional space. Each horizontal slice of the upside down pyramid is a diamond shaped region and it is called an -ball. The upside down pyramid is called the epigraph set of the -norm cost function. We show that the method leads to soft-thresholding as in standard wavelet denoising methods. Orthogonal projection operations automatically determine the soft-threshold values of the wavelet signals. © 2015 IEEE. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T09:40:53Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2015 | en |
dc.identifier.doi | 10.1109/MSP.2015.2440051 | en_US |
dc.identifier.issn | 1053-5888 | |
dc.identifier.uri | http://hdl.handle.net/11693/21081 | |
dc.language.iso | English | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/MSP.2015.2440051 | en_US |
dc.source.title | IEEE Signal Processing Magazine | en_US |
dc.subject | Cost functions | en_US |
dc.subject | Denoising methods | en_US |
dc.subject | Horizontal slices | en_US |
dc.subject | Multi-dimensional space | en_US |
dc.subject | Orthogonal projection | en_US |
dc.subject | Soft threshold | en_US |
dc.subject | Soft thresholding | en_US |
dc.subject | Wavelet denoising | en_US |
dc.subject | Wavelet denoising method | en_US |
dc.subject | Wavelet analysis | en_US |
dc.title | Projection-based wavelet denoising [lecture notes] | en_US |
dc.type | Article | en_US |
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